contepablod/QCNNCancerBinaryClassifier
Quantum Convolutional Neural Network to classify esophagus cancer
This tool helps medical researchers and pathologists classify images of esophagus tissue. It takes an image of esophagus tissue and determines if it shows signs of cancer or not. The primary users are researchers or clinicians involved in esophageal cancer diagnosis and study.
No commits in the last 6 months.
Use this if you need an experimental method for binary classification of esophagus cancer from image data using quantum machine learning techniques.
Not ideal if you need a production-ready, clinically validated diagnostic tool, or if your focus is on other types of cancer or image data.
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Jupyter Notebook
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Last pushed
May 30, 2023
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