PathologyDataScience / MuTILs_PanopticLinks
Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.
☆19Updated 3 weeks ago
Alternatives and similar repositories for MuTILs_Panoptic
Users that are interested in MuTILs_Panoptic are comparing it to the libraries listed below
Sorting:
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆29Updated last year
- First commit☆62Updated 2 years ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆41Updated 6 months ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated last year
- ☆20Updated 2 years ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆35Updated last month
- Re-stained whole slide image alignment☆33Updated last year
- ☆52Updated 2 years ago
- ☆55Updated 3 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 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
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆19Updated 11 months ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆44Updated 4 years ago
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆46Updated last year
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆80Updated last year
- ☆35Updated 2 years ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆53Updated 6 months ago
- ☆53Updated 2 months ago
- ☆14Updated 4 months ago
- Class for getting ROIs and masks from annotated pyramidal images. A work in progress.☆12Updated 3 years ago
- ☆17Updated last year
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- GrandQC tool for tissue detection and quality control in pathology☆49Updated 3 months ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆30Updated last year
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆26Updated last year
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- A simple tool used for normalize whole slide images, support macenko, reinhard, vahadane (GPU accelerate)☆24Updated last month
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- Histopathology Image Analysis☆92Updated last year