Karol-G / Gcam
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++.
☆49Updated 4 years ago
Alternatives and similar repositories for Gcam:
Users that are interested in Gcam are comparing it to the libraries listed below
- The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)☆74Updated 2 months ago
- Official code for 'Unsupervised Local Discrimination for Medical Images'.☆21Updated 3 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates☆43Updated 3 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆53Updated last year
- [MICCAI2020] Code for paper : Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation☆54Updated 4 years ago
- This page is for A Survey on Deep Learning of Small Sample in Biomedical Image Analysis.☆28Updated 4 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- ☆55Updated 2 years ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 3 years ago
- Official PyTorch implementation of Scribble2Label (MICCAI 2020)☆34Updated 3 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆61Updated 3 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆78Updated 5 years ago
- The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]☆21Updated last year
- Code for paper: "Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification"☆14Updated 3 years ago
- implementation of 3DUNet by PyTorch 1.0☆63Updated 4 years ago
- Code for the MICCAI DART 2020 paper☆32Updated 3 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- ☆11Updated 3 years ago
- Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images☆58Updated 2 years ago
- [TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model☆133Updated 4 years ago
- A pytorch reimplementation of CheXNet.☆10Updated 6 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans☆109Updated 5 years ago
- official pytorch implementation of PCRL☆77Updated 3 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated last year
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation☆48Updated 3 years ago
- [IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification☆53Updated 3 years ago