DeepMicroscopy / TUPAC16_AlternativeLabels
Alternative training set for the TUPAC16 auxiliary mitotic figure data set
☆12Updated 2 months ago
Alternatives and similar repositories for TUPAC16_AlternativeLabels:
Users that are interested in TUPAC16_AlternativeLabels are comparing it to the libraries listed below
- MItosis DOmain Generalization Challenge 2021/2022☆14Updated 2 years ago
- Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images☆28Updated 8 months ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆75Updated 2 years ago
- ☆9Updated last week
- A large, multi-domain mitotic Figure Dataset☆13Updated 2 weeks ago
- Generation of synthetic artefacts / digital pathology☆13Updated 3 years ago
- Large-Scale Canine Mammary Carcinoma Dataset for Mitotic Figure Assessment on Whole Slide Images☆20Updated 3 years ago
- Code for replicating results presented in the paper: "Quantifying Explainers of Graph Neural Networks in Computational Pathology"☆45Updated 3 years ago
- Evaluation code for the PanNuke dataset☆26Updated 4 years ago
- Joint learning of chest radiographs and radiology reports☆21Updated 3 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
- Benchmarking toolkit for patch-based histopathology image classification.☆38Updated last year
- SEGmentation using Graphs with Inexact aNd Incomplete labels☆22Updated 2 years ago
- Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning"☆27Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- ☆15Updated 2 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 2 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆80Updated last year
- Implementation of PyTorch-based multi-task pre-trained models☆33Updated 4 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆67Updated this week
- [AVI 2020] UTA4: Medical Imaging DICOM files dataset.☆17Updated 4 years ago
- Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image-MICCAI 2021☆17Updated last year
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆60Updated 3 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆37Updated 3 years ago
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation☆23Updated 3 years ago
- The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.☆28Updated 2 years ago
- A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)☆51Updated 4 years ago