This project aims to build a prediction model for the breast cancer detection using tensorflow. The data source of the image is from CAMELYON16 (https://camelyon16.grand-challenge.org), which contains different zoom levels of breast histopathology slides and their corresponding masks that indicates the position of the cancers.
Methodologies are inspired by the paper “Detecting Cancer Metastases on Gigapixel Pathology Images” (Liu et al. ,2017).
This is a final project for COMS 4995: Applied Deep Learning taught by Joshua Gordon at Columbia University in Fall 2022.
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