A Survey on Domain Generalization for Medical Image Analysis
Z Niu, S Ouyang, S Xie, Y Chen, L Lin - arXiv preprint arXiv:2402.05035, 2024 - arxiv.org
Medical Image Analysis (MedIA) has emerged as a crucial tool in computer-aided diagnosis
systems, particularly with the advancement of deep learning (DL) in recent years. However …
systems, particularly with the advancement of deep learning (DL) in recent years. However …
Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation
Despite that deep learning models have achieved remarkable performance in medical
image segmentation, their performance is often limited on testing images from new centers …
image segmentation, their performance is often limited on testing images from new centers …
Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images
S Liao, T Peng, H Chen, T Lin, W Zhu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: Optical Coherence Tomography (OCT) images can provide non-invasive
visualization of fundus lesions; however, scanners from different OCT manufacturers largely …
visualization of fundus lesions; however, scanners from different OCT manufacturers largely …
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
Deep learning based methods often suffer from performance degradation caused by domain
shift. In recent years, many sophisticated network structures have been designed to tackle …
shift. In recent years, many sophisticated network structures have been designed to tackle …