Fujia1998/ISL4MIS

Image-tag-supervised learning for medical image segmentation.

Image-tag-supervised learning for medical image segmentation (ISL4MIS).

1. Code for image-tag-supervised learning

1. train the classification network

   python scripts/train_cls.py --img_dir your_img_dir

2. generate cam using trained classification network

   python scripts/cam.py --checkpoint best_checkpoint.pth

2. Literature reviews of image-tag-supervised learning approach for medical image segmentation.

2.1 State-of-the-art methods

Date	Paper source	Title	Code
2022.09	MICCAI	Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images	PyTorch
2022.08	MedIA	Weakly Supervised Segmentation on Neural Compressed Histopathology with Self-Equivariant Regularization	PyTorch
2022.08	MedIA	Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels	PyTorch
2022.06	CVPR (oral)	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations	PyTorch
2022.06	CVPR	C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image
2022.03	TMI	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty	PyTorch
2021.06	JBHI	Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method	PyTorch
2021.02	MedIA	An Interpretable Classifier for High-Resolution Breast Cancer Screening Images Utilizing Weakly Supervised Localization	PyTorch
2020.12	JBHI	MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images	Tensorflow
2020.09	MICCAI	Weakly Supervised Organ Localization with Attention Maps Regularized by Local Area Reconstruction
2020.09	Artificial Intelligence in Medicine	Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images	PyTorch

2.2 Literature reviews of CAM Variants.

Date	Paper source	Title	Code
2020.06	CVPR workshop	Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks	PyTorch
2018.05	WACV	Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks
2017.10	ICCV	Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization	PyTorch
2016.06	CVPR	Learning Deep Features for Discriminative Localization	PyTorch

Acknowledgement

• Part of the code is adapted from open-source codebase and original implementations of algorithms, we thank these authors for their fantastic and efficient codebase, such as DRS and pytorch-grad-cam.