basveeling/pcam
The PatchCamelyon (PCam) deep learning classification benchmark.
This project offers a specialized image dataset for training and benchmarking machine learning models that detect metastatic tissue in medical images. It takes high-resolution images of lymph node sections and provides a binary label indicating the presence of metastatic cells. This dataset is primarily used by machine learning researchers and medical imaging specialists developing and evaluating AI tools for cancer diagnosis.
516 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or medical imaging specialist looking for a standardized, challenging dataset to develop and test models for detecting cancer in histopathology slides.
Not ideal if you need to train models for general object recognition or non-medical image classification tasks.
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Python
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Last pushed
Jan 31, 2024
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