tomcat123a / survival_loss_criteriaLinks
cox loss function and c-index calculation with pytorch
☆12Updated 6 years ago
Alternatives and similar repositories for survival_loss_criteria
Users that are interested in survival_loss_criteria are comparing it to the libraries listed below
Sorting:
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆38Updated 4 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆56Updated 2 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆59Updated 4 years ago
- ☆13Updated 5 years ago
- Whole Slide Images Segmentation using Patch UNet☆17Updated 5 years ago
- ☆71Updated 4 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆142Updated 4 years ago
- AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging☆34Updated 3 years ago
- ☆16Updated 4 years ago
- ☆146Updated last year
- Histopathology Image Analysis☆92Updated 2 years ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆157Updated last year
- ☆16Updated last year
- ☆14Updated 4 years ago
- GPU-accelerated stain normalization command line tool☆24Updated 2 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 5 years ago
- Variance pooling to incorporate ITH in CPath models - MICCAI 2022☆26Updated 3 years ago
- Dynamic Affine Feature Map Transform☆51Updated last year
- Hecktor-2021 Challenge Task-2 (Prognosis) code☆18Updated 4 years ago
- AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction☆15Updated 11 months ago
- Extracting Radiomic Features using CUDA for GPU-acceleration☆25Updated 4 years ago
- Hand-crafted radiomics and deep learning-based radiomcis features extraction.☆88Updated 3 years ago
- ☆27Updated 4 years ago
- Remove pen-marking annotations on whole slide images(WSIs) for data achiving.☆18Updated 3 years ago
- ☆30Updated 6 years ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated 2 years ago
- Some stain normalization code☆93Updated 3 years ago
- AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images (Medical Image Analysis 2024)☆39Updated 2 years ago
- ☆66Updated last year