SimulatingDCE

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

Matlab based GUI to predict breast cancer using Deep Learning

Improving Information Extraction from Pathology Reports using Named Entity Recognition

Multi-modal deep learning with attention mechanism

The Invasive Ductal Carcinoma (IDC) Detection System is an open source computer vision program created to classify IDC positive and negative samples. This project is a complete system including a locally hosted webserver / UI / API allowing you to manage your pipeline.

Official repository for "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation"

Application of several machine learning techniques to classify whether the tumor mass is benign or malignant in women residing in the state of Wisconsin, USA.