PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).
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Updated
Aug 8, 2019 - Python
PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).
K means clustering for breast-cancer-wisconsin.data from scratch
This Python script uses TensorFlow to build, train, and evaluate a neural network for breast cancer diagnosis. It processes a dataset (cancer.csv), splits it into training and testing sets, and defines a sequential model with three sigmoid-activated dense layers. Users can train the model or evaluate it via an interactive command-line interface.
An open source algorithm to generate a 3D model of the women bra. This allows ONEBra to build personalized/customized cups for symmetric breast restoration starting from a simple 3D photo.
Official code release for the paper: "Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autonencoders"
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