Evaluation of Automated Breast Density Segmentation Software on Segmenting Digital Mammograms Acquired at Magee-Womens Hospital
Introduction
This research project was done during the Spring of 2016 with Dr. Shandong Wu Lab Page as part of the University of Pittsburgh program First Experiences in Research. The purpose of the project was to use Bioimaging Informatics techniques along with Machine Learning techniques such as Fuzzy C-means Clustering (FCM) and Support Vector Machine (SVM) Segmentation to ultimately improve breast cancer risk detection. This was using mammographic images and running them through software in a MatLab environment.
Files
First Experiences in Research Symposium Poster.png
This is the final poster that was presented at the research symposium for the First Experiences in Research (link above) program.
Research Abstract.pdf
This is the detailed version of the purpose behind the project and what was achieved in the final results.
Publication
The research done in this project was based off of the following publication.
Contact Information
Yogindra Raghav (YogiOnBioinformatics)