srinidhiPY / SSL_CR_Histo
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
☆62Updated 3 years ago
Alternatives and similar repositories for SSL_CR_Histo:
Users that are interested in SSL_CR_Histo are comparing it to the libraries listed below
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆37Updated 4 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆78Updated 2 years ago
- ☆57Updated 6 months ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 3 years ago
- Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).☆13Updated 2 years ago
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆131Updated 3 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆83Updated last year
- Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning"☆28Updated 2 years ago
- Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…☆33Updated last year
- ☆30Updated 5 years ago
- CoNIC Challenge☆64Updated last year
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆70Updated 2 months ago
- ☆35Updated 2 years ago
- This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their mo…☆64Updated 3 years ago
- ☆70Updated 3 years ago
- Self-supervised nuclei segmentation (MICCAI 2020)☆42Updated 4 years ago
- Histopathology Image Analysis☆93Updated last year
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆31Updated 2 years ago
- ☆26Updated 2 years ago
- ☆37Updated 3 years ago
- DeepLearning - Camelyon16 dataset☆119Updated 6 years ago
- ☆43Updated last year
- SEGmentation using Graphs with Inexact aNd Incomplete labels☆23Updated 3 years ago
- ☆25Updated 5 months ago
- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering☆100Updated last year
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆65Updated 2 years ago