Repository for the article "Comparing Screening Outcomes for Digital Breast Tomosynthesis and Digital Mammography by Automated Breast Density in a Randomized Controlled Trial: Results from the To-Be Trial"

A Tensorflow model which classifies breast tissue of containing Breast Cancer specifically Invasive Ductal Carcinoma (IDC) or not.

LaTeX sources for my PhD thesis RNA Sequencing for Molecular Diagnostics in Breast Cancer at the Lund University Faculty of Medicine (published December 2020).

Filtering of breast tumor in MATLAB

One of the most dreadful disease is breast cancer and it has a potential cause for death in women. Every year, death rate increases drastically due to breast cancer. An effective way to classify data is through classification or data mining. This becomes very handy, especially in the medical field where diagnosis and analysis are done through th…

Cancer-Net Open Source Initiative (Breast Cancer)

Breast Cancer Prediction with Hybrid Filter-Wrapper Feature Selection

Breast Cancer Detection Using Python

Scikit-Learn Supervised Machine Learning for Breast Cancer Binary Classification

Medical Image processing project.

Simple neural network model using Keras for predicting benign and malignant(cancerous) breast tumors.

[IJHCS] UTA7: a dataset from the results of the affinity diagrams extracted from our focus groups.

Breast Cell Nuclei Segmentation, project work done as a part of Internship at Machine Vision Lab, IIT Roorkee.

🏥 Estudo da predição de câncer de mama a partir de uma base de dados do kaggle sobre câncer de mama.

You can view the codes and outputs from this link

Classification of scRNA sequenced breast epithelial cells to cell types, which were derived from the replication of a Nature Communications paper.

CopyClust: A Copy-Number-Based Integrative Cluster Classification Scheme for Breast Cancer Samples

Repository for our limited angle deep learning based DOT image reconstruction

💎 MIMBCD-UI Breast Screening Prototype