Dynamic Collaborative Continual Test-Time Adaptation for 3D Vessel Segmentation
- 26 September 2026
- book chapter
- Published by Springer Nature
- p. 151-161
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation2025
- Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniquesBiomedical Signal Processing and Control, 2025
- Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency2024
- Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation2024
- Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation2024
- ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography imagesComputerized Medical Imaging and Graphics, 2023
- UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation2023
- Towards an extended EfficientNet-based U-Net framework for joint optic disc and cup segmentation in the fundus imageBiomedical Signal Processing and Control, 2023
- Automated segmentation of normal and diseased coronary arteries – The ASOCA challengeComputerized Medical Imaging and Graphics, 2022
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015