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GitHub topics: mammogram

batmanlab/Mammo-CLIP

[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Language: Python - Size: 2.95 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 60 - Forks: 19

cwangrun/HierProtoPNet

[JBHI 2025] Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation

Language: Python - Size: 2.42 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 6 - Forks: 0

truong2710-cyber/Mammogram-Abnormalities-Detection

Using Faster R-CNN with ResNet50 and FPN to detect abnormalities in mammograms

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1

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.

Language: TeX - Size: 21.1 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 95 - Forks: 26

mhuzaifadev/mammory-server

Stack of REST APIs built on Flask for serving requests to MAMMORY (App), deployed on Azure with GitHub Actions (CI/CD)

Language: Python - Size: 76 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

RichardObi/mammo_dp

Official repository of "Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data"

Language: Python - Size: 86.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

aldew5/Mammogram-Checking

Checking mammograms by radiologists in Vienna at ECR.

Language: TypeScript - Size: 1.09 GB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Annor-Gyimah/mammoai

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

Language: HTML - Size: 3.74 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

omar-mohamed/CDD-CESM-Dataset

This is a helper repository for the CDD-CESM Mammogram Dataset containing all the tools for pre-processing and segmentation models.

Language: Python - Size: 24.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 22 - Forks: 7

cwangrun/InterNRL

[TMI 2023] An Interpretable Deep Disease Diagnosis Framework

Language: Python - Size: 135 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anindox8/Region-Proposal-for-Mass-Detection-in-Mammograms

Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.

Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

RobertoDebarba/mammograms-microcalcifications-detection

Algorithm for mammograms microcalcifications detection using opencv-python

Language: Python - Size: 284 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 5

nivba/Mamo-ForensicTransfer

auto-encoder-based forgery detection tool for mammogram images

Language: Python - Size: 1.71 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 0

nivba/Mammo-CGAN

Tumor injection tool for mammographic scans

Language: Python - Size: 2.79 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

ethirajsrinivasan/mammogram_deep_learning

Language: Jupyter Notebook - Size: 122 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 3

RexGod/DataMining_Pgu_Nueral_Network

Language: Jupyter Notebook - Size: 2.45 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

iancraz/Mammography-Abnormality-Detector

Mammography Abnormality Detector Implementing Deep Neural Networks and Achieving 96% Accuracy.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

gsunit/Pectoral-Muscle-Removal-From-Mammograms

Algorithm to segment pectoral muscles in breast mammograms

Language: Jupyter Notebook - Size: 3.33 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 5

jimmyyhwu/ddsm-visual-primitives

Using deep learning to discover interpretable representations for mammogram classification and explanation

Language: Jupyter Notebook - Size: 72.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 29 - Forks: 10

ayshrv/mammogram-project

Various implementation and analysis on MIAS Mammogram Dataset in Python

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 2

leoll2/MedicalCNN

Abnormality detection in mammogram images using Deep Convolutional Neural Networks

Language: Jupyter Notebook - Size: 8.93 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 3

brsegmentation/brsegmentation

Breast region segmentation with multiatlas deformable registration

Language: MATLAB - Size: 17 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 4

mmaithani/Cancer-prediction-using-mammogram-data-

Predicting if a mass detected in a mammogram is benign or maligant ,on the basis of that we can easily tell that whether its sign of cancer or not. previously this work is done using seeing the mammogram image manually by doctor predicting whether its maligant or not but now we are using Machine learning model to learn from previous patient data and predict for new patient whether they have to worry or not.

Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2

MAkcanca/tibbi-goruntuleme-mamografi-1

⚕️ Mamografi verisinde basit analizlerle doku tespiti - https://akcanca.com/tibbi-goruntu-analizi-mamografi/

Language: Jupyter Notebook - Size: 5.95 MB - Last synced at: 4 days ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

ravichoudharyds/Breast_Cancer Fork of nhungle714/Breast_Cancer_Classification

Breast Cancer Detection through Mammograms

Language: Python - Size: 127 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

Related Keywords
mammogram 25 deep-learning 8 machine-learning 5 medical-imaging 4 computer-vision 4 python 4 mammography 4 convolutional-neural-networks 4 breast-cancer 3 optical-coherence-tomography 2 keras 2 resnet-50 2 cbis-ddsm-dataset 2 cnn 2 cancer-detection 2 tensorflow2 2 image-processing 2 explainable-ai 2 segmentation 2 image-classification 2 neural-networks 2 breast-cancer-classification 2 breast-cancer-detection 2 disease-classification 2 data-science 2 retinal-disease-detection 1 2d 1 clahe 1 morphological-enhancement 1 patch-extraction 1 region-proposal 1 slic-superpixel-algorithm 1 health 1 medical-image-processing 1 opencv 1 neural-network 1 interpretable-neural-networks 1 interpretable-models 1 interpretable-deep-learning 1 interpretability 1 explainable-artificial-intelligence 1 inception-resnet-v2 1 breast-cancer-diagnosis 1 brain-tumor-segmentation 1 resnet-18 1 radiology-reports 1 ultrasound 1 mias-database 1 keras-tensorflow 1 tensorflow 1 image-preprocessing 1 ddsm 1 expert-in-the-loop 1 cnn-keras 1 cnn-classification 1 pytorch 1 ml 1 resnet152 1 nueral-networks 1 clustering 1 datamining 1 vgg16 1 tsne-algorithm 1 tumor-injection 1 gan 1 python3 1 deep-fake 1 forgery-detection 1 deep-fakes 1 supervised-machine-learning 1 opencv-python 1 mask-rcnn 1 flask-restful 1 flask-api 1 firebase 1 densenet121 1 transfer-learning 1 mini-mias-dataset 1 object-detection 1 frcnn 1 fpn 1 weakly-supervised-localization 1 hierarchical-models 1 disease-diagnosis 1 chest-xray-images 1 vision-and-language 1 vindr 1 rsna-breast-cancer 1 rsna 1 retinanet 1 multimodal 1 miccai2024 1 miccai 1 mammo-clip 1 efficientnet 1 efficient-net 1 clip 1 dataset 1 web 1 radiologist 1