Karol-G / GcamLinks
Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.
☆50Updated 5 years ago
Alternatives and similar repositories for Gcam
Users that are interested in Gcam are comparing it to the libraries listed below
Sorting:
- [TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model☆133Updated 4 years ago
- Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates☆44Updated 4 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆64Updated 4 years ago
- The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)☆75Updated last year
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆79Updated 6 years ago
- ☆56Updated 2 years ago
- [IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification☆54Updated 4 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆55Updated 2 years ago
- Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images☆58Updated 3 years ago
- Code for the MICCAI DART 2020 paper☆32Updated 4 years ago
- [MICCAI2020] Code for paper : Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation☆54Updated 5 years ago
- This page is for A Survey on Deep Learning of Small Sample in Biomedical Image Analysis.☆28Updated 5 years ago
- official pytorch implementation of PCRL☆77Updated 4 years ago
- Official code for 'Unsupervised Local Discrimination for Medical Images'.☆21Updated 4 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆41Updated 5 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆115Updated 2 years ago
- ☆36Updated 3 years ago
- PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans☆114Updated 6 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆74Updated 2 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated 2 years ago
- An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.☆75Updated 11 months ago
- Unsupervised medical image segmentation using edge mapping and adversarial learning☆20Updated 6 years ago
- The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]☆23Updated 2 years ago
- Code for CVPR 2021 paper. "Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling".☆101Updated 2 years ago
- implementation of 3DUNet by PyTorch 1.0☆63Updated 5 years ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 3 years ago
- ☆27Updated 4 years ago
- [MICCAI'21 & MICCAI'20] A Codebase for Universal Lesion Detection (DeepLesion SOTA)☆49Updated 4 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 3 years ago
- Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"☆184Updated 4 years ago