Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.
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Updated
Aug 23, 2023 - TeX
Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.
Using deep learning to discover interpretable representations for mammogram classification and explanation
Algorithm to segment pectoral muscles in breast mammograms
This is a helper repository for the CDD-CESM Mammogram Dataset containing all the tools for pre-processing and segmentation models.
Abnormality detection in mammogram images using Deep Convolutional Neural Networks
Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
Automated Breast Density Assignment from Mammograms using Deep Learning
Stack of REST APIs built on Flask for serving requests to MAMMORY (App), deployed on Azure with GitHub Actions (CI/CD)
auto-encoder-based forgery detection tool for mammogram images
Breast region segmentation with multiatlas deformable registration
Algorithm for mammograms microcalcifications detection using opencv-python
Tumor injection tool for mammographic scans
Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.
Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc
Mammography Abnormality Detector Implementing Deep Neural Networks and Achieving 96% Accuracy.
This is a project use to describe if a mammogram is bening or malignant. The data set is from the uci repository and this is my final project implementation for the sundog frank kane udemy data science course. The implementation was well visualized and explaine for both experts and beginners. It also contains link to various models or methods used.
MammoAI is a web application built with Django, designed to assist radiologists in predicting and assessing breast cancer from mammogram images. It utilizes advanced machine learning models to determine whether an image is benign or malignant, and generates a heatmap to highlight the affected areas
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