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
- ☆184Updated 5 years ago
- Implementation of active contour loss function☆201Updated 4 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆142Updated 4 years ago
- State-of-the-art retinal vessel segmentation with minimalistic models☆82Updated last year
- An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.☆75Updated 3 months ago
- Usage of Multi-task deep learning network for semantic segmentation in medical images☆131Updated 4 years ago
- PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans☆110Updated 5 years ago
- MRI Brain Tumor Segmentation - BraTS Challenge 2020☆49Updated 3 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆110Updated 2 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆79Updated 5 years ago
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆303Updated 3 years ago
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆173Updated 4 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆73Updated last year
- pytorch implementation of SEG-GRAD-CAM,which based on grad-cam☆51Updated 4 years ago
- COVID-19 Pneumonia Lesion segmentation network☆88Updated 3 years ago
- Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.☆176Updated 4 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020☆81Updated 3 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆126Updated 2 years ago
- ☆58Updated 2 years ago
- [IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!☆167Updated 11 months ago
- Implementation of Hausdorff loss function for DNN learning in segmentation tasks.☆65Updated 9 months ago
- Semi-supervised few-shot learning for medical image segmentation☆26Updated 4 years ago
- IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmenta…☆95Updated 4 years ago
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆182Updated last year
- 3D volume data augmentation package inspired by albumentations☆79Updated 5 years ago
- [Medical Image Analysis 2019] Attentive Neural Cell Instance Segmentation☆47Updated 3 years ago
- Deeplabv3 plus 3D version (in pytorch)☆35Updated 6 years ago
- Official Repository for Deep Active Lesion Segmentation (DALS)☆32Updated last year
- matlab and python wrap of crf and dense crf, both 2d and 3d are supported☆169Updated 2 years ago
- A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.☆51Updated 2 months ago