Adamouization/Breast-Cancer-Detection-Mammogram-Deep-Learning
Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.
This project helps radiologists and medical researchers explore how deep learning can assist in detecting breast cancer from mammograms. By inputting mammogram images, the system provides predictions on the presence of breast cancer, aiming to reduce incorrect diagnoses and improve early detection. It is designed for those in medical imaging and AI research looking to apply advanced computational techniques to clinical challenges.
105 stars. No commits in the last 6 months.
Use this if you are a medical imaging researcher or a data scientist in healthcare, interested in applying deep learning models like CNNs to classify breast cancer in mammogram datasets such as CBIS-DDSM.
Not ideal if you need a plug-and-play clinical diagnostic tool, as this project is a research framework for exploring deep learning techniques rather than a validated, production-ready system.
Stars
105
Forks
31
Language
TeX
License
BSD-2-Clause
Category
Last pushed
Aug 23, 2023
Commits (30d)
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