rikiyay / style-transfer-for-digital-pathology
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
☆23Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for style-transfer-for-digital-pathology
- SEGmentation using Graphs with Inexact aNd Incomplete labels☆22Updated 2 years ago
- ☆12Updated 2 years ago
- The source code of 'Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring' …☆24Updated 3 years ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆28Updated 2 years ago
- ☆28Updated last year
- Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…☆30Updated last year
- Region-guided CycleGANs for stain transfer☆15Updated last year
- Code accompanying the paper Neural Image Compression for Gigapixel Histopathology Image Analysis☆48Updated last year
- The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.☆28Updated last year
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆24Updated 4 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 2 years ago
- Variance pooling to incorporate ITH in CPath models - MICCAI 2022☆23Updated 2 years ago
- ☆33Updated 4 months ago
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆27Updated last year
- Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding☆27Updated 2 months ago
- ☆14Updated 5 months ago
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated last year
- The code for Kernel attention transformer (KAT)☆30Updated 5 months ago
- ☆14Updated 5 years ago
- This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics☆50Updated 2 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆19Updated 4 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆75Updated last year
- A collection of self-supervised papers in medical imaging.☆39Updated 3 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆26Updated 3 years ago
- ☆25Updated last month
- ☆16Updated 2 years ago
- ☆70Updated 3 years ago
- Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'☆9Updated 2 years ago
- ☆30Updated 4 years ago