hms-dbmi / MOMALinks
MOMA
☆53Updated last year
Alternatives and similar repositories for MOMA
Users that are interested in MOMA are comparing it to the libraries listed below
Sorting:
- ☆52Updated 2 years ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆41Updated 6 months ago
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆46Updated last year
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆35Updated 6 months ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆44Updated 4 years ago
- [MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)☆97Updated 3 months ago
- A generative toolkit to translate H&E images to multiplexed IHC☆43Updated 6 months ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆25Updated last year
- First commit☆62Updated 2 years ago
- ☆53Updated 2 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆29Updated last year
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆19Updated 3 weeks ago
- GrandQC tool for tissue detection and quality control in pathology☆49Updated 3 months ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆84Updated 4 months ago
- This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.☆70Updated 3 months ago
- ☆14Updated 4 months ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆35Updated last month
- Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Qu…☆66Updated 4 months ago
- TCGA Pathology Reports in Machine Readable Text☆47Updated last year
- ☆70Updated last month
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆20Updated 4 years ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆38Updated last month
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆101Updated 5 months ago
- ☆55Updated 3 years ago
- Tools to build deep learning pipelines.☆103Updated 7 months ago
- ☆19Updated last year
- Solid Tumor Associative Modeling in Pathology☆80Updated this week
- A vision language model for gigapixel whole slide images in histopathology☆69Updated 8 months ago