sunjesse / shape-attentive-unet
Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf published at MICCAI 2020.
☆96Updated 3 years ago
Alternatives and similar repositories for shape-attentive-unet:
Users that are interested in shape-attentive-unet are comparing it to the libraries listed below
- State-of-the-art retinal vessel segmentation with minimalistic models☆77Updated last year
- ☆182Updated 5 years ago
- MRI Brain Tumor Segmentation - BraTS Challenge 2020☆49Updated 3 years ago
- An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.☆75Updated last month
- COVID-19 Pneumonia Lesion segmentation network☆88Updated 3 years ago
- Pytorch implementation of FullNet-varCE☆56Updated 4 years ago
- pytorch implementation of SEG-GRAD-CAM,which based on grad-cam☆51Updated 4 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆78Updated 5 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆110Updated last year
- Usage of Multi-task deep learning network for semantic segmentation in medical images☆128Updated 4 years ago
- PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans☆109Updated 5 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆124Updated 2 years ago
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆170Updated 4 years ago
- Implementation of active contour loss function☆200Updated 4 years ago
- Semi-supervised few-shot learning for medical image segmentation☆26Updated 4 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆142Updated 4 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.☆172Updated 4 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated last year
- IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmenta…☆90Updated 4 years ago
- Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"☆73Updated 4 years ago
- [MICCAI 2020] BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture☆62Updated 3 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020☆81Updated 3 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
- ☆13Updated 4 years ago
- ☆57Updated 2 years ago
- Code for "Contrastive Registration for Unsupervised Medical Image Segmentation".☆66Updated 10 months ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆53Updated last year
- Deeplabv3 plus 3D version (in pytorch)☆35Updated 5 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year