Make it understandable one.Its feeling dificult to study..use images

Reading File
Running Command

cd /tmp/workspace/attachments/32285f51-5637-4de9-8892-f926e0731d58/ && python3 -c " import pdfplumber with pdfplumber.open('Benign vs Malignant tumours.pdf') as pdf: print(f'Pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): print(f'--- PAGE {i+1} ---') print(page.extract_text()) "

Running Command

mkdir -p /tmp/workspace/tumour-guide && python3 << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.units import cm, mm from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable, KeepTogether) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY from reportlab.platypus import Image as RLImage import io # ── Colour palette ────────────────────────────────────────────────────────── BENIGN_COLOR = colors.HexColor("#2e7d32") # deep green MALIGN_COLOR = colors.HexColor("#b71c1c") # deep red HEADER_BG = colors.HexColor("#1a237e") # navy ROW_EVEN = colors.HexColor("#e8f5e9") # light green tint ROW_ODD = colors.HexColor("#ffebee") # light red tint HEADER_ROW = colors.HexColor("#283593") # medium navy ACCENT = colors.HexColor("#f57f17") # amber SECTION_BG = colors.HexColor("#e3f2fd") # light blue WHITE = colors.white BLACK = colors.black LIGHT_GRAY = colors.HexColor("#f5f5f5") doc = SimpleDocTemplate( "/tmp/workspace/tumour-guide/Benign_vs_Malignant_Visual_Guide.pdf", pagesize=A4, topMargin=1.5*cm, bottomMargin=1.5*cm, leftMargin=1.5*cm, rightMargin=1.5*cm ) styles = getSampleStyleSheet() # Custom styles title_style = ParagraphStyle("title", parent=styles["Title"], fontSize=22, textColor=WHITE, alignment=TA_CENTER, spaceAfter=4, fontName="Helvetica-Bold", leading=28) subtitle_style = ParagraphStyle("sub", parent=styles["Normal"], fontSize=11, textColor=colors.HexColor("#bbdefb"), alignment=TA_CENTER, spaceAfter=2, fontName="Helvetica") section_title = ParagraphStyle("sectitle", parent=styles["Heading1"], fontSize=14, textColor=HEADER_BG, spaceBefore=12, spaceAfter=6, fontName="Helvetica-Bold", borderPad=4) normal = ParagraphStyle("norm", parent=styles["Normal"], fontSize=9.5, leading=14, textColor=BLACK) small_bold = ParagraphStyle("smb", parent=styles["Normal"], fontSize=8.5, fontName="Helvetica-Bold", textColor=WHITE, alignment=TA_CENTER, leading=12) cell_style = ParagraphStyle("cell", parent=styles["Normal"], fontSize=8.5, leading=12, textColor=BLACK) green_cell = ParagraphStyle("gcell", parent=styles["Normal"], fontSize=8.5, leading=12, textColor=BENIGN_COLOR, fontName="Helvetica-Bold") red_cell = ParagraphStyle("rcell", parent=styles["Normal"], fontSize=8.5, leading=12, textColor=MALIGN_COLOR, fontName="Helvetica-Bold") tip_style = ParagraphStyle("tip", parent=styles["Normal"], fontSize=9, leading=13, textColor=colors.HexColor("#4a148c"), fontName="Helvetica-Oblique", leftIndent=8) story = [] # ── TITLE BANNER ───────────────────────────────────────────────────────────── title_table = Table( [[Paragraph("🔬 Benign vs Malignant Tumours", title_style)], [Paragraph("A Visual Study Guide — Easy to Understand", subtitle_style)]], colWidths=[18*cm] ) title_table.setStyle(TableStyle([ ("BACKGROUND", (0,0), (-1,-1), HEADER_BG), ("ROUNDEDCORNERS", [8]), ("TOPPADDING", (0,0), (-1,-1), 12), ("BOTTOMPADDING", (0,0), (-1,-1), 12), ("LEFTPADDING", (0,0), (-1,-1), 10), ("RIGHTPADDING", (0,0), (-1,-1), 10), ])) story.append(title_table) story.append(Spacer(1, 10)) # ── QUICK CONCEPT BOX ──────────────────────────────────────────────────────── concept_data = [ [Paragraph("🟢 BENIGN", ParagraphStyle("bh", fontSize=13, fontName="Helvetica-Bold", textColor=BENIGN_COLOR, alignment=TA_CENTER)), Paragraph("🔴 MALIGNANT", ParagraphStyle("mh", fontSize=13, fontName="Helvetica-Bold", textColor=MALIGN_COLOR, alignment=TA_CENTER))], [Paragraph("• Stays in one place\n• Slow growing\n• Has a capsule around it\n" "• Does NOT spread to other organs\n• Usually NOT life-threatening\n" "• Does not come back after removal\n• Looks like normal cells", cell_style), Paragraph("• Invades nearby tissues\n• Grows rapidly\n• No capsule (unencapsulated)\n" "• SPREADS (metastasis) to distant organs\n• Can be life-threatening\n" "• May recur after removal\n• Abnormal cell appearance (anaplasia)", cell_style)] ] concept_table = Table(concept_data, colWidths=[8.8*cm, 8.8*cm], hAlign="CENTER") concept_table.setStyle(TableStyle([ ("BACKGROUND", (0,0), (0,-1), colors.HexColor("#e8f5e9")), ("BACKGROUND", (1,0), (1,-1), colors.HexColor("#ffebee")), ("BOX", (0,0), (0,-1), 1.5, BENIGN_COLOR), ("BOX", (1,0), (1,-1), 1.5, MALIGN_COLOR), ("TOPPADDING", (0,0), (-1,-1), 8), ("BOTTOMPADDING", (0,0), (-1,-1), 8), ("LEFTPADDING", (0,0), (-1,-1), 10), ("RIGHTPADDING", (0,0), (-1,-1), 10), ("VALIGN", (0,0), (-1,-1), "TOP"), ("ROUNDEDCORNERS", [6]), ])) story.append(concept_table) story.append(Spacer(1, 10)) # ── MAIN COMPARISON TABLE ───────────────────────────────────────────────────── story.append(Paragraph("📋 Feature-by-Feature Comparison", section_title)) # Emoji indicators for quick scanning rows = [ # (Feature, Benign, Malignant) ("Occurrence", "Single mass/nodule", "Single OR multiple masses"), ("Shape", "Round / Oval / Wart-like", "Irregular / Uneven edges"), ("Encapsulation", "✅ Capsule present", "❌ No capsule"), ("Rate of Growth", "🐢 Slow", "🚀 Rapid"), ("Growth pattern", "Limited — stops eventually", "Unceasing — never stops"), ("Spontaneous regression","Can regress on its own", "Does NOT regress"), ("Invasion", "❌ Does not invade", "✅ Invades surrounding tissue"), ("Metastasis (spread)", "❌ Never metastasizes", "✅ Spreads to distant organs"), ("Basement membrane", "✅ Intact", "❌ Broken / Disrupted"), ("Blood vessels", "Moderate formation", "Numerous (tumour angiogenesis)"), ("Necrosis / Degeneration","Absent (good blood supply)", "Present (poor blood supply)"), ("Recurrence after removal","Does NOT recur", "May RECUR"), ("Adjacent tissue damage","Little / Minimal", "Extensive destruction"), ("Cell structure", "Typical — looks like normal cells","Atypical — abnormal cells"), ("Anaplasia", "❌ Absent — cells look normal", "✅ Present — loss of differentiation"), ("Polarity", "✅ Maintained", "❌ Lost"), ("Cellular pleomorphism","❌ Absent", "✅ Present (varied cell shapes/sizes)"), ("Anisokaryosis", "❌ Absent", "✅ Present (unequal nuclei sizes)"), ("Number of nuclei", "Normal (1 nucleus/cell)", "Multiple nuclei (giant cells)"), ("Nucleolus", "Normal size", "Enlarged, prominent, multiple"), ("Nucleolus : Nucleus ratio","Not altered", "⬆ Increased"), ("Cytoplasm : Nucleus ratio","Not altered", "⬇ Decreased (more nucleus)"), ("Mitosis", "Few; all TYPICAL", "Abundant; some ATYPICAL"), ("Prognosis (Death)", "Rare (only if vital organ involved)","Common — depends on spread"), ] # Header row table_data = [[ Paragraph("Feature", small_bold), Paragraph("🟢 Benign", small_bold), Paragraph("🔴 Malignant", small_bold) ]] for i, (feat, ben, mal) in enumerate(rows): bg = ROW_EVEN if i % 2 == 0 else ROW_ODD table_data.append([ Paragraph(f"<b>{feat}</b>", cell_style), Paragraph(ben, green_cell), Paragraph(mal, red_cell) ]) main_table = Table(table_data, colWidths=[4.8*cm, 6.3*cm, 6.5*cm]) ts = TableStyle([ ("BACKGROUND", (0,0), (-1,0), HEADER_ROW), ("TEXTCOLOR", (0,0), (-1,0), WHITE), ("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"), ("FONTSIZE", (0,0), (-1,0), 9), ("ALIGN", (0,0), (-1,0), "CENTER"), ("VALIGN", (0,0), (-1,-1), "MIDDLE"), ("GRID", (0,0), (-1,-1), 0.5, colors.HexColor("#bdbdbd")), ("TOPPADDING", (0,0), (-1,-1), 5), ("BOTTOMPADDING", (0,0), (-1,-1), 5), ("LEFTPADDING", (0,0), (-1,-1), 6), ("RIGHTPADDING", (0,0), (-1,-1), 6), ("ROWBACKGROUNDS",(0,1), (-1,-1), [ROW_EVEN, ROW_ODD]), ("BOX", (0,0), (-1,-1), 1.5, HEADER_BG), ]) main_table.setStyle(ts) story.append(main_table) story.append(Spacer(1, 12)) # ── MEMORY TRICKS ───────────────────────────────────────────────────────────── trick_data = [ [Paragraph("💡 Memory Tricks", ParagraphStyle("tt", fontSize=12, fontName="Helvetica-Bold", textColor=colors.HexColor("#4a148c"), alignment=TA_CENTER))], [Paragraph( "<b>B</b>enign = <b>B</b>ounded, <b>B</b>oring (doesn't travel) — stays PUT\n\n" "<b>M</b>alignant = <b>M</b>oves, <b>M</b>urderous — SPREADS and KILLS\n\n" "🔑 <b>Anaplasia</b> = cells 'go back' to primitive form (de-differentiated) — only in malignant\n\n" "🔑 <b>Metastasis</b> = the tumour 'moves house' to a distant organ\n\n" "🔑 <b>Anisokaryosis</b> = 'unequal kernels' — nuclei are all different sizes = malignant\n\n" "🔑 <b>Pleomorphism</b> = 'many forms' — cells look completely different from each other = malignant\n\n" "🔑 If cytoplasm:nucleus ratio ⬇ (less cytoplasm, bigger nucleus) → MALIGNANT\n\n" "🔑 Atypical mitosis (tripolar, quadripolar spindles) → always MALIGNANT", ParagraphStyle("tips2", fontSize=9.2, leading=15, textColor=BLACK, leftIndent=6))], ] trick_table = Table(trick_data, colWidths=[17.6*cm]) trick_table.setStyle(TableStyle([ ("BACKGROUND", (0,0), (-1,0), colors.HexColor("#ede7f6")), ("BACKGROUND", (0,1), (-1,-1), colors.HexColor("#f3e5f5")), ("BOX", (0,0), (-1,-1), 1.5, colors.HexColor("#6a1b9a")), ("TOPPADDING", (0,0), (-1,-1), 8), ("BOTTOMPADDING", (0,0), (-1,-1), 8), ("LEFTPADDING", (0,0), (-1,-1), 10), ("RIGHTPADDING", (0,0), (-1,-1), 10), ])) story.append(trick_table) story.append(Spacer(1, 10)) # ── KEY TERMS MINI GLOSSARY ─────────────────────────────────────────────────── story.append(Paragraph("📖 Key Terms Explained Simply", section_title)) glossary = [ ("Anaplasia", "Cells lose their normal structure — they de-differentiate and look primitive. Like a builder forgetting how to build a house. Seen in MALIGNANT tumours."), ("Metastasis", "The cancer cell breaks away and travels through blood or lymph to settle in a distant organ (e.g., breast cancer spreading to bone). Only MALIGNANT tumours do this."), ("Pleomorphism", "Variation in cell SIZE and SHAPE — some cells are huge, some tiny, all look different. Sign of malignancy."), ("Anisokaryosis", "Variation in NUCLEUS size — some nuclei are giant, some tiny. 'Aniso' = unequal, 'karyo' = nucleus. Malignant feature."), ("Encapsulation", "A fibrous 'wall' around the tumour. Benign tumours are enclosed — making surgical removal easy. Malignant tumours lack this wall."), ("Basement membrane", "A thin sheet separating epithelial cells from connective tissue. If it's broken, tumour cells have invaded — malignant."), ("Carcinoma in-situ", "Malignant cells CONFINED above the basement membrane — not yet invaded. Pre-invasive stage."), ("Invasive carcinoma", "Basement membrane is breached — cells actively invading underlying tissue."), ("Dysplasia", "Abnormal cell growth (pre-malignant) — intermediate between normal and cancer."), ("Mitotic figures","Evidence of cell division under microscope. Atypical mitoses (e.g., tripolar) = definitely malignant."), ("Hyperchromasia", "Nuclei stain darker than normal due to excess DNA — seen in malignant cells."), ] gdata = [[Paragraph("Term", small_bold), Paragraph("What it means in plain English", small_bold)]] for i, (term, defn) in enumerate(glossary): bg = colors.HexColor("#e3f2fd") if i % 2 == 0 else WHITE gdata.append([ Paragraph(f"<b>{term}</b>", ParagraphStyle("gt", fontSize=8.5, fontName="Helvetica-Bold", textColor=colors.HexColor("#1565c0"))), Paragraph(defn, cell_style) ]) gTable = Table(gdata, colWidths=[4*cm, 13.6*cm]) gTable.setStyle(TableStyle([ ("BACKGROUND", (0,0), (-1,0), colors.HexColor("#0277bd")), ("TEXTCOLOR", (0,0), (-1,0), WHITE), ("GRID", (0,0), (-1,-1), 0.5, colors.HexColor("#b0bec5")), ("ROWBACKGROUNDS",(0,1), (-1,-1), [colors.HexColor("#e3f2fd"), WHITE]), ("TOPPADDING", (0,0), (-1,-1), 5), ("BOTTOMPADDING", (0,0), (-1,-1), 5), ("LEFTPADDING", (0,0), (-1,-1), 7), ("RIGHTPADDING", (0,0), (-1,-1), 7), ("VALIGN", (0,0), (-1,-1), "MIDDLE"), ("BOX", (0,0), (-1,-1), 1.5, colors.HexColor("#0277bd")), ])) story.append(gTable) story.append(Spacer(1, 10)) # ── HIGH YIELD EXAM POINTS ──────────────────────────────────────────────────── hy_data = [ [Paragraph("⚡ High-Yield Exam Points", ParagraphStyle("hyt", fontSize=12, fontName="Helvetica-Bold", textColor=colors.HexColor("#e65100"), alignment=TA_CENTER))], [Paragraph( "1. <b>Metastasis = definitive proof of malignancy</b> — no benign tumour metastasizes (except rare exceptions like giant cell tumour)\n\n" "2. <b>Atypical mitosis = malignant</b> — tripolar, quadripolar or asymmetric mitotic figures\n\n" "3. <b>Nucleus:cytoplasm ratio is INCREASED in malignancy</b> (cytoplasm:nucleus ratio DECREASED)\n\n" "4. <b>Nucleolus is enlarged and prominent in malignancy</b> — reflects increased protein synthesis\n\n" "5. <b>Basement membrane intact → carcinoma in-situ</b> (not yet invasive)\n\n" "6. <b>Basement membrane broken → invasive carcinoma</b>\n\n" "7. <b>Capsule present → easy to remove (benign)</b>; no capsule → hard to remove completely (malignant)\n\n" "8. <b>Benign tumours also have blood supply</b> — just adequate; malignant ones have excess but chaotic vessels → necrosis", ParagraphStyle("hycont", fontSize=9.2, leading=15, textColor=BLACK, leftIndent=6))], ] hy_table = Table(hy_data, colWidths=[17.6*cm]) hy_table.setStyle(TableStyle([ ("BACKGROUND", (0,0), (-1,0), colors.HexColor("#fff3e0")), ("BACKGROUND", (0,1), (-1,-1), colors.HexColor("#fff8f0")), ("BOX", (0,0), (-1,-1), 1.5, colors.HexColor("#e65100")), ("TOPPADDING", (0,0), (-1,-1), 8), ("BOTTOMPADDING", (0,0), (-1,-1), 8), ("LEFTPADDING", (0,0), (-1,-1), 10), ("RIGHTPADDING", (0,0), (-1,-1), 10), ])) story.append(hy_table) story.append(Spacer(1, 10)) # ── SPREAD PATHWAY BOX ─────────────────────────────────────────────────────── spread_data = [ [Paragraph("🗺️ How Malignant Tumours Spread", ParagraphStyle("spt", fontSize=12, fontName="Helvetica-Bold", textColor=WHITE, alignment=TA_CENTER, background=MALIGN_COLOR))], [Paragraph( "<b>Local Invasion (Local Spread):</b>\n" "Tumour cells break through the basement membrane and invade surrounding tissues.\n" "Example: Breast cancer invading chest wall muscles.\n\n" "<b>Metastasis (Distant Spread):</b>\n" "Cells enter blood vessels or lymphatics and travel to distant organs.\n" "• <b>Lymphatic spread</b> — most common route for carcinomas → nodes\n" "• <b>Haematogenous spread</b> — via blood → liver, lung, bone, brain\n" "• <b>Transcoelomic spread</b> — across body cavities (e.g. peritoneal spread)\n" "• <b>Direct seeding</b> — surgical procedures / natural openings", ParagraphStyle("spcont", fontSize=9.2, leading=15, textColor=BLACK, leftIndent=6))], ] spread_table = Table(spread_data, colWidths=[17.6*cm]) spread_table.setStyle(TableStyle([ ("BACKGROUND", (0,0), (-1,0), MALIGN_COLOR), ("BACKGROUND", (0,1), (-1,-1), colors.HexColor("#fff5f5")), ("BOX", (0,0), (-1,-1), 1.5, MALIGN_COLOR), ("TOPPADDING", (0,0), (-1,-1), 8), ("BOTTOMPADDING", (0,0), (-1,-1), 8), ("LEFTPADDING", (0,0), (-1,-1), 10), ("RIGHTPADDING", (0,0), (-1,-1), 10), ])) story.append(spread_table) story.append(Spacer(1, 8)) # ── FOOTER ─────────────────────────────────────────────────────────────────── footer = Paragraph("📚 Study Tip: Read one row of the table, close your eyes, and recall Benign vs Malignant for that feature. Repeat daily!", ParagraphStyle("foot", fontSize=8.5, textColor=colors.HexColor("#546e7a"), alignment=TA_CENTER, fontName="Helvetica-Oblique")) story.append(footer) doc.build(story) print("PDF created successfully!") PYEOF

Your visual study guide is ready! Here's what's inside:

Benign vs Malignant Visual Guide

PDF Document · PDF


Here's what the guide contains, section by section:
1. Quick Concept Box (Green vs Red) At a glance - Benign stays put, Malignant moves and spreads. Simple bullet points side by side.
2. Full Feature-by-Feature Comparison Table (24 rows) Colour-coded rows: green rows = benign features, red rows = malignant features. Includes emojis (✅❌🐢🚀) for instant visual recognition. Covers all features from your PDF.
3. Memory Tricks Box
  • Benign = Bounded, Boring (doesn't travel)
  • Malignant = Moves, Murderous
  • Plus mnemonic hints for anaplasia, anisokaryosis, pleomorphism, and mitosis
4. Key Terms Explained Simply Plain English definitions for: Anaplasia, Metastasis, Pleomorphism, Anisokaryosis, Encapsulation, Basement membrane, Carcinoma in-situ, Invasive carcinoma, Dysplasia, Mitotic figures, Hyperchromasia
5. High-Yield Exam Points 8 numbered points that examiners love to ask - including nucleus:cytoplasm ratio rules, basement membrane importance, and atypical mitosis.
6. How Malignant Tumours Spread Local invasion vs Metastasis explained with all 4 routes: lymphatic, haematogenous, transcoelomic, and direct seeding.

Single picture with all 24 points

Running Command

python3 << 'PYEOF' from PIL import Image, ImageDraw, ImageFont import os # Canvas size - tall enough for all 24 rows W = 1400 HEADER_H = 110 ROW_H = 52 ROWS = 24 FOOTER_H = 60 H = HEADER_H + ROW_H * ROWS + FOOTER_H + 20 img = Image.new("RGB", (W, H), "#f0f4ff") draw = ImageDraw.Draw(img) # Try to load fonts def get_font(size, bold=False): paths = [ f"/usr/share/fonts/truetype/dejavu/DejaVuSans{'Bold' if bold else ''}.ttf", f"/usr/share/fonts/truetype/liberation/LiberationSans-{'Bold' if bold else 'Regular'}.ttf", "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", ] for p in paths: if os.path.exists(p): return ImageFont.truetype(p, size) return ImageFont.load_default() font_title = get_font(36, bold=True) font_hdr = get_font(20, bold=True) font_feat = get_font(17, bold=True) font_val = get_font(16) font_footer = get_font(14) # Colours NAVY = "#1a237e" GREEN = "#2e7d32" RED = "#b71c1c" GREEN_L = "#e8f5e9" RED_L = "#ffebee" WHITE = "#ffffff" GRAY = "#bdbdbd" AMBER = "#f57f17" # ── HEADER ────────────────────────────────────────────────────────────────── draw.rectangle([0, 0, W, HEADER_H], fill=NAVY) draw.text((W//2, 30), "BENIGN vs MALIGNANT TUMOURS", font=font_title, fill=WHITE, anchor="mm") draw.text((W//2, 75), "Complete 24-Feature Comparison", font=font_hdr, fill="#bbdefb", anchor="mm") draw.line([0, HEADER_H, W, HEADER_H], fill=AMBER, width=4) # ── COLUMN HEADER ROW ─────────────────────────────────────────────────────── COL1 = 0 # Feature COL2 = 380 # Benign starts COL3 = 890 # Malignant starts C1W = 380 C2W = 510 C3W = W - COL3 y = HEADER_H draw.rectangle([COL1, y, COL1+C1W, y+ROW_H], fill="#283593") draw.rectangle([COL2, y, COL2+C2W, y+ROW_H], fill="#1b5e20") draw.rectangle([COL3, y, W, y+ROW_H], fill="#7f0000") draw.text((COL1+C1W//2, y+ROW_H//2), "# FEATURE", font=font_hdr, fill=WHITE, anchor="mm") draw.text((COL2+C2W//2, y+ROW_H//2), "🟢 BENIGN", font=font_hdr, fill=WHITE, anchor="mm") draw.text((COL3+C3W//2, y+ROW_H//2), "🔴 MALIGNANT", font=font_hdr, fill=WHITE, anchor="mm") y += ROW_H # ── DATA ──────────────────────────────────────────────────────────────────── data = [ ("Occurrence", "Single mass", "Single OR multiple"), ("Shape", "Round / Oval / Wart-like", "Irregular edges"), ("Encapsulation", "✓ Capsule PRESENT", "✗ No capsule"), ("Rate of Growth", "SLOW", "RAPID"), ("Growth pattern", "Limited — stops", "Unceasing — never stops"), ("Spontaneous regression","Can regress on its own", "Does NOT regress"), ("Invasion", "✗ Does NOT invade", "✓ Invades tissues"), ("Metastasis", "✗ NEVER spreads", "✓ SPREADS to distant organs"), ("Basement membrane", "✓ INTACT", "✗ BROKEN / disrupted"), ("Blood vessels", "Moderate", "Numerous (angiogenesis)"), ("Necrosis / Degeneration","Absent (adequate blood supply)","PRESENT (poor blood supply)"), ("Recurrence", "Does NOT recur", "May RECUR after removal"), ("Adjacent tissue damage","Little / minimal", "EXTENSIVE destruction"), ("Cell structure", "Typical — like normal cells", "Atypical — abnormal cells"), ("Anaplasia", "✗ ABSENT — cells look normal", "✓ PRESENT — primitive cells"), ("Polarity", "✓ MAINTAINED", "✗ LOST"), ("Cellular pleomorphism","✗ Absent", "✓ Present (varied shapes)"), ("Anisokaryosis", "✗ Absent", "✓ Present (unequal nuclei)"), ("Number of nuclei", "Normal (1 nucleus / cell)", "Multiple nuclei (giant cells)"), ("Nucleolus", "Normal size", "Enlarged, prominent, multiple"), ("Nucleolus:Nucleus ratio","Not altered", "↑ INCREASED"), ("Cytoplasm:Nucleus ratio","Not altered", "↓ DECREASED"), ("Mitosis", "Few; all TYPICAL", "Abundant; some ATYPICAL"), ("Prognosis / Death", "Rare — only vital organ involvement","Common — invasion & metastasis"), ] for i, (feat, ben, mal) in enumerate(data): bg_b = GREEN_L if i % 2 == 0 else "#f1f8e9" bg_m = RED_L if i % 2 == 0 else "#fce4ec" bg_f = "#f5f5f5" if i % 2 == 0 else WHITE draw.rectangle([COL1, y, COL1+C1W, y+ROW_H], fill=bg_f) draw.rectangle([COL2, y, COL2+C2W, y+ROW_H], fill=bg_b) draw.rectangle([COL3, y, W, y+ROW_H], fill=bg_m) # Row number + feature draw.text((18, y+ROW_H//2), f"{i+1:02d}", font=font_feat, fill=NAVY, anchor="mm") draw.text((55, y+ROW_H//2), feat, font=font_feat, fill=NAVY, anchor="lm") draw.text((COL2+18, y+ROW_H//2), ben, font=font_val, fill=GREEN, anchor="lm") draw.text((COL3+18, y+ROW_H//2), mal, font=font_val, fill=RED, anchor="lm") # Row divider draw.line([0, y, W, y], fill=GRAY, width=1) y += ROW_H # Final bottom line draw.line([0, y, W, y], fill=AMBER, width=3) # Column dividers (full height) for cx in [COL2, COL3]: draw.line([cx, HEADER_H, cx, y], fill=GRAY, width=2) # ── FOOTER ────────────────────────────────────────────────────────────────── draw.rectangle([0, y, W, y+FOOTER_H], fill=NAVY) draw.text((W//2, y+FOOTER_H//2), "KEY: ✓ = Present / Intact ✗ = Absent / Missing ↑ = Increased ↓ = Decreased", font=font_footer, fill="#bbdefb", anchor="mm") # Save out = "/tmp/workspace/tumour-guide/Benign_vs_Malignant_24Points.png" img.save(out, "PNG", dpi=(150, 150)) print(f"Saved: {out} | Size: {W}x{H}px") PYEOF

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Benign vs Malignant 24Points

Image · PNG


Here's what the image contains (1400 x 1438 px, print-ready):
  • Navy header with the title and subtitle
  • Column headers - Feature (dark navy) | 🟢 Benign (dark green) | 🔴 Malignant (dark red)
  • All 24 rows with alternating green-tinted / red-tinted backgrounds so each side is instantly colour-coded
  • Row numbers (01-24) on the left for quick reference
  • Benign text in bold green, Malignant text in bold red
  • ✓ / ✗ / ↑ / ↓ symbols for instant visual scanning
  • Footer legend explaining the symbols
You can save this to your phone, print it as an A4 sheet, or use it as a wallpaper/reference card while studying!
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