Microwave Radar-based Imaging Toolbox (MERIT) is free and open-source software for microwave radar-basaed imaging. Including getting started guides and example data, MERIT is a flexible and extensible framework for developing, testing, running and optimising radar-based imaging algorithms.

Matlab based GUI to predict breast cancer using Deep Learning

Classifying malignant and benign tumors using Neural Networks 🔬

A sensing mastectomy prosthetic based on RPi 3B+ and a Sense HAT

This repository provides the MATLAB scripts for our quantitative systems pharmacology model published in Front. Bioeng. Biotechnol., where we conduct an in silico clinical trial in breast cancer using anti-PD-1, anti-CTLA-4 antibody and an epigenetic modulator.

Thermograms Classification To Breast Cancer Detection Using Statistical And Fractal Texture Features Extraction

Apply and evaluate some basic machine learning algorithms on breast cancer prediction.

Medical Image processing project.

Following is Matlab code

The Breast Radar-based Image Quality Analysis (BRIQS) Framework was created as part of a Master's Year (MAI Biomedical Engineering) Project at Trinity College Dublin. BRIQS is a free and open-source framework for Microwave Radar-based Imaging. It builds upon the BRIGID phantom dataset and MERIT software.

Filtering of breast tumor in MATLAB

Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.

Using MATLAB, this project detects potential breast tumors in medical images. It applies image processing and a threshold-based classification approach, visually displaying identified cancerous regions. Contribute to advancing breast cancer diagnosis through enhanced medical image analysis.