Create conference style poster on this case. using the supplied clinical details keeping the layout concise, professional, and medically coherent while avoiding unsupported case information.

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Searching the Web

conference medical poster case report layout guidelines concise professional

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Browsing Directory

~/

Searching PubMed

sigmoid colon cancer

Browsing Directory

~/attachments/625e06aa-4d8d-4c4e-a4e4-85b2d4dfcec2/

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Finding Sources
Running Command

python -c "from pypdf import PdfReader; p='/tmp/workspace/attachments/625e06aa-4d8d-4c4e-a4e4-85b2d4dfcec2/Sigmoid cancer.pdf'; r=PdfReader(p); print('PAGES',len(r.pages)); [print('\\n--- PAGE',i+1,'---\\n'+(page.extract_text() or '')) for i,page in enumerate(r.pages)]"

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Running Command

mkdir -p "/tmp/workspace/sigmoid-cancer-poster/assets" "/tmp/workspace/sigmoid-cancer-poster/src" "/tmp/workspace/sigmoid-cancer-poster/output" && python -c "import fitz; from PIL import Image,ImageDraw; p='/tmp/workspace/attachments/625e06aa-4d8d-4c4e-a4e4-85b2d4dfcec2/Sigmoid cancer.pdf'; d=fitz.open(p); thumbs=[]; [thumbs.append(Image.frombytes('RGB' if pg.get_pixmap(matrix=fitz.Matrix(.3,.3), alpha=False).n==3 else 'RGBA',[pg.get_pixmap(matrix=fitz.Matrix(.3,.3), alpha=False).width,pg.get_pixmap(matrix=fitz.Matrix(.3,.3), alpha=False).height],pg.get_pixmap(matrix=fitz.Matrix(.3,.3), alpha=False).samples).convert('RGB')) for pg in d]; w=thumbs[0].width; h=thumbs[0].height; sheet=Image.new('RGB',(w*4,h*4),'white'); dr=ImageDraw.Draw(sheet); [(sheet.paste(im,((i%4)*w,(i//4)*h)),dr.text(((i%4)*w+8,(i//4)*h+8),str(i+1),fill='red',stroke_width=1,stroke_fill='white')) for i,im in enumerate(thumbs)]; sheet.save('/tmp/workspace/sigmoid-cancer-poster/assets/contact_sheet.jpg',quality=90); [pg.get_pixmap(matrix=fitz.Matrix(1.5,1.5),alpha=False).save(f'/tmp/workspace/sigmoid-cancer-poster/assets/page_{i+1}.png') for i,pg in enumerate(d)]"

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Running Command

python -m pip install --user PyMuPDF

Running Command

python -c "import fitz; from PIL import Image,ImageDraw; p='/tmp/workspace/attachments/625e06aa-4d8d-4c4e-a4e4-85b2d4dfcec2/Sigmoid cancer.pdf'; d=fitz.open(p); thumbs=[]; [thumbs.append(Image.frombytes('RGB',[pix.width,pix.height],pix.samples)) for pg in d for pix in [pg.get_pixmap(matrix=fitz.Matrix(.32,.32),alpha=False)]]; w,h=thumbs[0].size; sheet=Image.new('RGB',(w*4,h*4),'white'); dr=ImageDraw.Draw(sheet); [(sheet.paste(im,((i%4)*w,(i//4)*h)),dr.text(((i%4)*w+10,(i//4)*h+10),str(i+1),fill='red',stroke_width=1,stroke_fill='white')) for i,im in enumerate(thumbs)]; sheet.save('/tmp/workspace/sigmoid-cancer-poster/assets/contact_sheet.jpg',quality=90); [pg.get_pixmap(matrix=fitz.Matrix(1.3,1.3),alpha=False).save(f'/tmp/workspace/sigmoid-cancer-poster/assets/page_{i+1}.png') for i,pg in enumerate(d)]"

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Running Command

python -c "import pytesseract; from PIL import Image; print(pytesseract.get_tesseract_version()); print(pytesseract.image_to_string(Image.open('/tmp/workspace/sigmoid-cancer-poster/assets/page_1.png')))"

Running Command

python -c "import importlib.util; print('easyocr',importlib.util.find_spec('easyocr')); print('paddleocr',importlib.util.find_spec('paddleocr')); print('keras_ocr',importlib.util.find_spec('keras_ocr')); print('cv2',importlib.util.find_spec('cv2'))" && which tesseract || true

Running Command

python -m pip install --user rapidocr-onnxruntime

Running Command

python -c "import pymupdf, numpy as np; p='/tmp/workspace/attachments/625e06aa-4d8d-4c4e-a4e4-85b2d4dfcec2/Sigmoid cancer.pdf'; d=pymupdf.open(p); print([(i+1, pg.rect, len(pg.get_images(full=True)), np.frombuffer(pg.get_pixmap(matrix=pymupdf.Matrix(1,1),alpha=False).samples,dtype=np.uint8).mean(),np.frombuffer(pg.get_pixmap(matrix=pymupdf.Matrix(1,1),alpha=False).samples,dtype=np.uint8).std()) for i,pg in enumerate(d)])"

Running Command

python -m pip install --target "/tmp/workspace/sigmoid-cancer-poster/rapidocr" rapidocr-onnxruntime && python -c "import sys; sys.path.insert(0,'/tmp/workspace/sigmoid-cancer-poster/rapidocr'); from rapidocr_onnxruntime import RapidOCR; o=RapidOCR(); r,e=o('/tmp/workspace/sigmoid-cancer-poster/assets/page_1.png'); print(e); print('\\n'.join(x[1] for x in (r or [])))"

Running Command

python -c "import sys,glob; sys.path.insert(0,'/tmp/workspace/sigmoid-cancer-poster/rapidocr'); from rapidocr_onnxruntime import RapidOCR; o=RapidOCR(); f=open('/tmp/workspace/sigmoid-cancer-poster/assets/ocr.txt','w'); [f.write('\\n\\n--- PAGE '+str(i)+' ---\\n'+'\\n'.join(x[1] for x in (o(p)[0] or []))) for i,p in enumerate(glob.glob('/tmp/workspace/sigmoid-cancer-poster/assets/page_*.png'),1)]; f.close()"

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