zonechen1994 / AI_TLS_segmentation
☆23Updated 9 months ago
Alternatives and similar repositories for AI_TLS_segmentation:
Users that are interested in AI_TLS_segmentation are comparing it to the libraries listed below
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆41Updated 4 years ago
- CEll spatial Organization-based graph convolutional network☆24Updated 11 months ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆28Updated 2 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆33Updated last month
- ☆48Updated last year
- Scripts for data processing☆40Updated 7 months ago
- PyTorch implementation of HisToGene☆31Updated 3 years ago
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆33Updated last month
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆25Updated last year
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆21Updated 3 years ago
- ☆12Updated 8 months ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- ☆18Updated last year
- ☆26Updated 2 years ago
- First commit☆59Updated 2 years ago
- ☆11Updated 3 years ago
- kfb转svs小软件☆14Updated last year
- ☆15Updated 3 months ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 6 months ago
- Code for ST_IGI package☆18Updated 2 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆66Updated 11 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆23Updated 9 months ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆33Updated 3 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆75Updated 4 years ago
- ☆16Updated 2 years ago
- Zhu, Xinliang, et al. "Wsisa: Making survival prediction from whole slide histopathological images." Proceedings of the IEEE Conference o…☆14Updated 2 years ago
- 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…☆50Updated 2 months ago
- Tools to build deep learning pipelines.☆90Updated 2 months ago
- ☆10Updated 6 months ago