MLNeurosurg / deepglioma
AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
☆32Updated 2 years ago
Alternatives and similar repositories for deepglioma:
Users that are interested in deepglioma are comparing it to the libraries listed below
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated last year
- ☆36Updated 2 years ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆26Updated last year
- ☆13Updated 4 years ago
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆21Updated 3 years ago
- ☆52Updated 3 years ago
- ☆49Updated last year
- ☆48Updated 2 months ago
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆97Updated last month
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆67Updated last year
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024☆129Updated 3 months ago
- [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images☆34Updated last year
- DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation☆28Updated 5 months ago
- First commit☆60Updated 2 years ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆31Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆52Updated last year
- [MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)☆90Updated last week
- [Nature Machine Intelligence 2024] Code and evaluation repository for the paper☆100Updated last week
- Deep Learning MRI image analysis☆41Updated 2 years ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆19Updated 4 years ago
- Codes used for the paper "Precise 3D CT-Radiomics for Habitat Computation by Machine Learning in Cancer with Histological and MRI correla…☆22Updated 8 months ago
- Workflow for Optimal Radiomics Classification☆74Updated last week
- Tools to build deep learning pipelines.☆93Updated 4 months ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆139Updated 10 months ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 8 months ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- Code and data for MICCAI 2022 accepted paper: Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Dem…☆18Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year