Topic: breast-cancer Goto Github
Some thing interesting about breast-cancer
Some thing interesting about breast-cancer
breast-cancer,Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.
User: 0xpranjal
breast-cancer,This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and accurate models to predict the status of the user (High Risk / Low Risk) with respect to Heart Attack and Breast Cancer.
User: advikmaniar
breast-cancer,An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.
User: afagarap
breast-cancer,🌸 Breast epithelium segmentation through IHC-guided supervision
Organization: aican-research
breast-cancer,🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
Organization: aican-research
breast-cancer,Classifying malignant and benign tumors using Neural Networks 🔬
User: akshaybahadur21
breast-cancer,Machine learning classifier for cancer tissues 🔬
User: akshaybahadur21
breast-cancer,The Invasive Ductal Carcinoma (IDC) Detection System is an open source computer vision program created to classify IDC positive and negative samples. This project is a complete system including a locally hosted webserver / UI / API allowing you to manage your pipeline.
Organization: breastcancerai
Home Page: https://www.BreastCancerAI.com
breast-cancer,A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)
Organization: breastcancerai
Home Page: https://www.breastcancerai.com/
breast-cancer,Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset
User: bupt-ai-cz
breast-cancer,Awesome artificial intelligence in cancer diagnostics and oncology
User: cbailes
breast-cancer,1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
User: dangnh0611
breast-cancer,Home for the unified VICTRE pipeline for in silico breast imaging.
Organization: didsr
Home Page: https://didsr.github.io/VICTRE_PIPELINE/
breast-cancer,This repo is dedicated to the medical reserach for skin and breast cancer and brain tumor detection detection by using NN and SVM and vgg19
User: eddieir
breast-cancer,Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.
User: elysian01
Home Page: https://impulse101.herokuapp.com/
breast-cancer,Microwave Radar-based Imaging Toolbox (MERIT) is free and open-source software for microwave radar-basaed imaging. Including getting started guides and example data, MERIT is a flexible and extensible framework for developing, testing, running and optimising radar-based imaging algorithms.
Organization: emfmed
breast-cancer,This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
User: ezgisubasi
breast-cancer,[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"
User: gholste
breast-cancer,Official Tensorflow implementation of BreastNet
User: goodsea
Home Page: https://doi.org/10.1016/j.physa.2019.123592
breast-cancer,Algorithm to segment pectoral muscles in breast mammograms
User: gsunit
breast-cancer,Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
User: haarburger
breast-cancer,
User: hdcouture
breast-cancer,Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
Organization: imaginglab
Home Page: https://iciar2018-challenge.grand-challenge.org
breast-cancer,Medical Diagnosis A Machine Learning Based Web Application
User: karanmehra7107
Home Page: https://karanmehra7107.github.io/Medical_Diagnosis/templates/index.html
breast-cancer,A sensing mastectomy prosthetic based on RPi 3B+ and a Sense HAT
User: kathyreid
Home Page: https://sensebreast.org
breast-cancer,SigMa is a probabilistic model for the sequential dependencies of mutation signatures
Organization: lrgr
breast-cancer,:eyes: Tobii Eye Tracker 4C Setup
Organization: mida-project
breast-cancer,:paperclip: About MIMBCD-UI Project
Organization: mimbcd-ui
Home Page: https://mimbcd-ui.github.io/
breast-cancer,An Open Source Manufacturing Framework for a Low-cost Ultrasound Tomography Research System
User: morganjroberts
breast-cancer,Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
User: mrdvince
breast-cancer,3D-GMIC: an efficient deep neural network to find small objects in large 3D images
Organization: nyukat
Home Page: https://arxiv.org/abs/2210.08645
breast-cancer,High-resolution breast cancer screening with multi-view deep convolutional neural networks
Organization: nyukat
Home Page: https://arxiv.org/abs/1703.07047
breast-cancer,Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Organization: nyukat
Home Page: https://ieeexplore.ieee.org/document/8861376
breast-cancer,Breast density classification with deep convolutional neural networks
Organization: nyukat
Home Page: https://arxiv.org/abs/1711.03674
breast-cancer,Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
Organization: nyukat
Home Page: https://openreview.net/pdf?id=nBT8eNF7aXr
breast-cancer,An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Organization: nyukat
Home Page: https://doi.org/10.1016/j.media.2020.101908
breast-cancer,Meta-repository of screening mammography classifiers
Organization: nyukat
Home Page: https://arxiv.org/abs/2108.04800
breast-cancer,This repository contains code that was used to train and evaluate deep learning models, as described in the article "Improving breast cancer diagnostics with artificial intelligence for MRI" by Jan Witowski et al.
Organization: nyukat
breast-cancer,Improving Information Extraction from Pathology Reports using Named Entity Recognition
Organization: nyukat
breast-cancer,Differences between human and machine perception in medical diagnosis
Organization: nyukat
Home Page: https://arxiv.org/abs/2011.14036
breast-cancer,Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
Organization: pathologydatascience
breast-cancer,This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%
User: rishiswethan
breast-cancer,A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.
User: riturajsaha
breast-cancer,A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.
User: thearjun
Home Page: https://disease-predictor.adhikariarjun.com.np/
breast-cancer,Matlab based GUI to predict breast cancer using Deep Learning
User: vasudev-sharma
breast-cancer,Ai powered web app to detect Metastatic Cancer and Invasive Ductal Carcinoma in histopathology tissue images.
User: vbookshelf
Home Page: http://histo.test.woza.work/
breast-cancer,A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
User: venugopalkadamba
Home Page: https://kvg-disease-predictor.herokuapp.com
breast-cancer, Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.
User: vkasojhaa
breast-cancer,This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
User: yala
breast-cancer,OncoText is an information extraction service for breast pathology reports. It supports over 20 categories including DCIS, includes pretrained models, and supports flexible addition of new categories, new training data, and parsing new reports.
User: yala
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