CNN Based Autoencoder Application in Breast Cancer Image Retrieval 🔬
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Updated
Jan 17, 2022 - Jupyter Notebook
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
PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).
A website for spreading awareness against Breast Cancer.
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Breast Cancer and Density Classification Using Deep Learning Models
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.
iPython notebook using sklearn to predict breast cancer using logistic regression
A structural equation modeling approach for the identification of gene expression adaptation in breast cancer patients at grade specific level
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.
Algorithm used: Logistic Regression, Decision Tree Classifier, Random Forest Classifier and Support Vector Machine.
Patato Classification,Breasr Cancer detection,Human Activity Recognition
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/
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