BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.
☆47May 28, 2019Updated 7 years ago
Alternatives and similar repositories for BreakHist-Dataset-Image-Classification
Users that are interested in BreakHist-Dataset-Image-Classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Baseline performance on BreakHis dataset with pre-trained models☆16May 27, 2018Updated 8 years ago
- Transfer learning on Inception-v3 using the BreakHis dataset.☆11Dec 5, 2018Updated 7 years ago
- Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNN…☆12Jul 22, 2022Updated 4 years ago
- Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Hist…☆220Oct 23, 2019Updated 6 years ago
- Official Tensorflow implementation of BreastNet☆17Dec 29, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Our solution for ICIAR 2018 Grand Challenge☆193Dec 16, 2020Updated 5 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆19Oct 25, 2019Updated 6 years ago
- AI app to detect breast cancer in histopathological database☆61May 21, 2020Updated 6 years ago
- Implementation of Camelyon'16 grand challenge☆183Feb 25, 2019Updated 7 years ago
- ☆12Mar 8, 2018Updated 8 years ago
- This repository includes the code for HiCo (PyTorch version).☆12Sep 24, 2022Updated 3 years ago
- Different approaches as (ANN,DecisionTree,Bayes and KNeighbors) to solve and predict with the best accuracy malignous cancers☆27Feb 15, 2017Updated 9 years ago
- 首个临床级别的 AI 系统可用源码☆69Dec 17, 2021Updated 4 years ago
- ☆10May 7, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆28Apr 28, 2024Updated 2 years ago
- Breast Cancer classification using deep neural network 🔬☆34Jun 4, 2021Updated 5 years ago
- Digital mammography processing tools☆15Aug 3, 2021Updated 5 years ago
- pytorch code for improved-precision-and-recall-metric☆25Jul 27, 2019Updated 7 years ago
- High-resolution breast cancer screening with multi-view deep convolutional neural networks☆162Jun 29, 2018Updated 8 years ago
- 糖网眼底图像分类_pytorch☆11Aug 13, 2018Updated 8 years ago
- ☆14May 4, 2019Updated 7 years ago
- Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning☆84Jul 24, 2026Updated last month
- PyTorch implementation for Camelyon17 (Breast Tumor Classification)☆85Mar 7, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Columbia University Applied Deep Learning Project: Detecting Cancer Metastases on Gigapixel Pathology Images☆15Dec 17, 2019Updated 6 years ago
- Classification of human emotion using multi-modal models☆12Jun 27, 2020Updated 6 years ago
- PyTorch library for breast cancer metastasis detection in whole-slide images of sentinel lymph node tissue from the Camelyon dataset☆15Nov 25, 2019Updated 6 years ago
- ☆14Nov 21, 2022Updated 3 years ago
- Pytorch implementation of "DAMA - Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Aut…☆18Oct 20, 2023Updated 2 years ago
- Breast cancer has the second highest mortality rate in women next to lung cancer. As per clinical statistics, 1 in every 8 women is diagn…☆30Oct 4, 2019Updated 6 years ago
- ☆28Jun 26, 2017Updated 9 years ago
- The image processing operations for useful☆15Aug 16, 2018Updated 8 years ago
- Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images (WACV 2023)☆15Mar 13, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Siamese Network and Triplet Loss for face recognition in real time☆14Jul 17, 2019Updated 7 years ago
- Chest Xray Classifier using CNNs and Transfer Learning. The jupyter notebook of interest is titled 'Xrays_alt.ipynb'☆11May 18, 2018Updated 8 years ago
- 将深度学习用于病理图像分析以及Openslide和OpenCV使用入門資料☆115Nov 21, 2022Updated 3 years ago
- 2018/5/30基于Python的美食聚集点的可视化分析研究☆14Feb 11, 2022Updated 4 years ago
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆98Aug 17, 2021Updated 5 years ago
- Deep learning on SAR images☆15May 3, 2015Updated 11 years ago
- breast Cancer乳腺癌数据挖掘，python sklearn☆11Apr 13, 2019Updated 7 years ago