masih4 / NuInsSeg
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images
☆24Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for NuInsSeg
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆46Updated 2 years ago
- Solid Tumor Associative Modeling in Pathology☆47Updated 2 months ago
- ☆36Updated 4 months ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆75Updated 8 months ago
- MADELEINE: multi-stain slide representation learning (ECCV'24)☆33Updated last month
- ☆49Updated 2 years ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆55Updated 2 months ago
- CoNIC Challenge☆60Updated 9 months ago
- ☆12Updated last year
- Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning"☆27Updated 2 years ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆25Updated last year
- ☆36Updated last year
- Deep learning-based multimodal integration of histology and genomics to improves cancer origin prediction☆19Updated last year
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆17Updated 3 months ago
- The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.☆28Updated last year
- ☆53Updated 2 months ago
- [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images☆31Updated last year
- This repo provides the pipeline of processing TCGA whole-slide images for downstream multiple instance learning.☆53Updated 5 months ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆23Updated 8 months ago
- Encoder-Decoder Cell and Nuclei segmentation models☆80Updated 4 months ago
- Preprocessing module for large histological images☆18Updated last year
- GPU-accelerated stain normalization command line tool☆19Updated last year
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆29Updated 3 months ago
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆92Updated 2 months ago
- A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues☆29Updated last year
- RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]☆52Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆127Updated 6 months ago
- Code from Foersch et al. (Under Construction / Development)☆35Updated last year
- 🔬 Code-free deep segmentation for computational pathology☆52Updated 5 months ago
- Repository for the Giga-SSL paper☆20Updated last month