adgaudio / O-MedAL
O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.
☆18Updated 3 years ago
Alternatives and similar repositories for O-MedAL:
Users that are interested in O-MedAL are comparing it to the libraries listed below
- [IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification☆54Updated 4 years ago
- ☆36Updated 2 years ago
- [TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model☆134Updated 4 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated last year
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆110Updated 2 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmen…☆60Updated 4 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆53Updated last year
- The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]☆22Updated last year
- This repository is the official PyTorch implementation of paper "Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion …☆29Updated 3 years ago
- Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models☆33Updated 4 years ago
- A manually annotated test set for DeepLesion with 3D lesion boxes☆24Updated 4 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆61Updated 8 months ago
- Unsupervised medical image segmentation using edge mapping and adversarial learning☆20Updated 5 years ago
- The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)☆74Updated 3 months ago
- ☆8Updated last year
- [TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data☆64Updated 4 years ago
- Estimating uncertainty of neural networks for automated screening of Diabetic Retinopathy using the PyTorch framework. Generated visual e…☆20Updated 4 years ago
- Code for the MICCAI DART 2020 paper☆32Updated 3 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image …☆35Updated 5 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- This page is for A Survey on Deep Learning of Small Sample in Biomedical Image Analysis.☆28Updated 4 years ago
- Implementation of "Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Autoencoders" in MICCAI 2020.☆16Updated 4 years ago
- Code for our arxiv preprint: https://arxiv.org/abs/1904.05236☆34Updated 5 years ago
- Example Code for Self-Supervised Feature Learning in Medical Volume Scans☆14Updated 5 years ago
- Code for paper: "Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification"☆14Updated 3 years ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 3 years ago
- Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI.☆25Updated 6 years ago
- Constrained Domain Adaptation for Segmentation☆29Updated 2 years ago