Medical Image processing project.
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Updated
May 17, 2024 - MATLAB
Medical Image processing project.
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.
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.
Filtering of breast tumor in MATLAB
Thermograms Classification To Breast Cancer Detection Using Statistical And Fractal Texture Features Extraction
Classifying malignant and benign tumors using Neural Networks 🔬
Matlab based GUI to predict breast cancer using Deep Learning
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.
A sensing mastectomy prosthetic based on RPi 3B+ and a Sense HAT
Apply and evaluate some basic machine learning algorithms on breast cancer prediction.
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.
Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.
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