TiagoFilipeSousaGoncalves / survey-attention-medical-imaging
Implementation of the paper "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?" by Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira and Jaime S. Cardoso.
☆13Updated 2 years ago
Alternatives and similar repositories for survey-attention-medical-imaging:
Users that are interested in survey-attention-medical-imaging are comparing it to the libraries listed below
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆47Updated last year
- [IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification☆55Updated 2 weeks ago
- Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 20…☆10Updated 2 years ago
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆49Updated last year
- ☆15Updated 2 years ago
- Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification☆65Updated last year
- Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.…☆41Updated last year
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images☆35Updated 2 years ago
- ☆67Updated 9 months ago
- ☆58Updated 3 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆32Updated 3 years ago
- Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertai…☆19Updated 2 years ago
- A collection of self-supervised papers in medical imaging.☆39Updated 4 years ago
- Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…☆101Updated 11 months ago
- The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…☆39Updated 10 months ago
- IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment☆20Updated 3 years ago
- official pytorch implementation of PCRL☆77Updated 3 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- Official implementation of "ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Class…☆12Updated 2 years ago
- Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/210…☆20Updated 2 years ago
- ☆30Updated last year
- A bayesian collaborative learning framework for whole-slide image classification☆25Updated last year
- [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+☆64Updated 4 months ago
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆97Updated 2 years ago
- [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)☆38Updated last year
- Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image-MICCAI 2021☆17Updated last year
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- ☆20Updated last year