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https://github.com/YogiOnBioinformatics/Bioimaging-Informatics-Machine-Learning-for-Cancerous-Breast-Cell-Detection
Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.
https://github.com/YogiOnBioinformatics/Bioimaging-Informatics-Machine-Learning-for-Cancerous-Breast-Cell-Detection
bioimaging bioinformatics breast-cancer breast-cancer-diagnosis breast-cancer-prediction breast-cancer-tumor cancer-imaging-research computational-biology fuzzy-cmeans-clustering machine-learning mammography-density matlab prediction-algorithm support-vector-machines
Last synced: 2 months ago
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Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.
- Host: GitHub
- URL: https://github.com/YogiOnBioinformatics/Bioimaging-Informatics-Machine-Learning-for-Cancerous-Breast-Cell-Detection
- Owner: YogiOnBioinformatics
- License: mit
- Created: 2018-12-29T03:40:43.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-02T21:47:26.000Z (about 6 years ago)
- Last Synced: 2024-08-05T10:08:24.896Z (6 months ago)
- Topics: bioimaging, bioinformatics, breast-cancer, breast-cancer-diagnosis, breast-cancer-prediction, breast-cancer-tumor, cancer-imaging-research, computational-biology, fuzzy-cmeans-clustering, machine-learning, mammography-density, matlab, prediction-algorithm, support-vector-machines
- Language: MATLAB
- Homepage: https://en.wikipedia.org/wiki/Bioimage_informatics
- Size: 10.8 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ai-cancer - YogiOnBioinformatics/Bioimaging-Informatics-Machine-Learning-for-Cancerous-Breast-Cell-Detection - Evaluation of Automated Breast Density Segmentation Software on Segmenting Digital Mammograms Acquired at Magee-Womens Hospital (Code / Repositories)
README
# 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](http://www.radiology.pitt.edu/profile-detail.html?profileID=906) as part of the University of Pittsburgh program [First Experiences in Research](https://www.asundergrad.pitt.edu/research/fer). 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](https://aapm.onlinelibrary.wiley.com/doi/abs/10.1118/1.4736530).
**Contact Information**
![interests](https://avatars1.githubusercontent.com/u/38919947?s=400&u=49ab1365a14fac78a91e425efd583f7a2bcb3e25&v=4)
Yogindra Raghav (YogiOnBioinformatics)