PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).

CNN Based Autoencoder Application in Breast Cancer Image Retrieval 🔬

Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.

Automatic 3D whole breast segmentation in breast MRI

Breast cancer detection using machine learning with deployment of model

Este repositorio presenta una implementación de segmentación de mamas utilizando YOLOv8. La segmentación de mamas es crucial en el diagnóstico de cáncer de mama. El proyecto incluye un notebook detallado y una demostración desplegada para probar el modelo en tiempo real.

Free WordPress Plugin: To get a bra that fits properly, it is vital to measure your bra size. This free calculator will tell you how to measure your breast size. www.calculator.io/bra-size-calculator/

Publicly Available SuReMaPP (Suspicious Regions on Mammograms from Palermo Polyclinic)

Bubble level with boobs!

K means clustering for breast-cancer-wisconsin.data from scratch

A website for spreading awareness against Breast Cancer.

Bra Perfect helps you find your ideal bra in seconds. The shape, size, position, symmetry, spacing, firmness and amount of relaxation of individual women's breasts vary considerably, and this app proves to be a useful tool for calculating your bra size.

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.

[IJHCS] UTA7: a dataset of time-on-task during our user studies extracted from clinicians while interacting with our assistant across the breast cancer diagnosis.

An automated CAD (Computer aided diagnosis) system for the classification of the breast histopathology images. It contains machine learning (feature extraction) and deep learning (transfer learning) pipelines.

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.

Patato Classification,Breasr Cancer detection,Human Activity Recognition

iPython notebook using sklearn to predict breast cancer using logistic regression

Machine Learning : Applied KNN on Breast Cancer data to find the result

React, Firebase, Serverless NodeJs, Stripe Application to detect Breast Density, BI-Rads and Breast Cancer from Mammography Screening Images using AI.