Medical image segmentation with domain adaptation: a survey
Deep learning (DL) has shown remarkable success in various medical imaging data
analysis applications. However, it remains challenging for DL models to achieve good …
analysis applications. However, it remains challenging for DL models to achieve good …
Unsupervised Domain Adaptation Fundus Image Segmentation via Multi-scale Adaptive Adversarial Learning
Segmentation of the Optic Disc (OD) and Optic Cup (OC) is crucial for the early detection
and treatment of glaucoma. Despite the strides made in deep neural networks, incorporating …
and treatment of glaucoma. Despite the strides made in deep neural networks, incorporating …
Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation
Medical image segmentation is a fundamental task in many clinical applications, yet current
automated segmentation methods rely heavily on manual annotations, which are inherently …
automated segmentation methods rely heavily on manual annotations, which are inherently …
TriLA: Triple-Level Alignment based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup
Cross-domain joint segmentation of optic disc and optic cup on fundus images is essential,
yet challenging, for effective glaucoma screening. Although many unsupervised domain …
yet challenging, for effective glaucoma screening. Although many unsupervised domain …
Source domain prior-assisted segment anything model for single domain generalization in medical image segmentation
W Dong, B Du, Y Xu - Image and Vision Computing, 2024 - Elsevier
Deep learning-based medical image segmentation models often suffer from performance
degradation across domains due to domain discrepancies arising from data collected by …
degradation across domains due to domain discrepancies arising from data collected by …
Pseudo-label clustering-driven dual-level contrast learning based source-free domain adaptation for fundus image segmentation
W Zhou, J Ji, W Cui, Y Yi - … on Pattern Recognition and Computer Vision …, 2023 - Springer
Abstract Source-Free Domain Adaptation (SFDA) has gained attention as a promising
solution to address the domain shift issue, eliminating the requirement for labeled data from …
solution to address the domain shift issue, eliminating the requirement for labeled data from …
MDLGO: Integrated Multimodal Deep Learning Framework for Enhanced Precision in Glaucoma Diagnosis Using OCT A-scans
RG Mundada, DD Nawgaje - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Glaucoma, a leading cause of irreversible blindness, necessitates accurate and early
diagnosis to prevent visual impairment. Current methods relying solely on OCT A-scans …
diagnosis to prevent visual impairment. Current methods relying solely on OCT A-scans …
Joint Optic Disc and Cup Segmentation with Parallel Cooperative Diffusion Model
W Li, W Huang - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Glaucoma is a common eye disease that can lead to permanent vision loss. Accurate
segmentation of the optic disc (OD) and optic cup (OC) plays a crucial role in glaucoma …
segmentation of the optic disc (OD) and optic cup (OC) plays a crucial role in glaucoma …
Automated Method for Localization and Segmentation of the Optic Disc for Glaucoma Evaluation.
JHR Resendiz - 2023 - inaoe.repositorioinstitucional.mx
AUTOMATED METHOD FOR LOCALIZATION AND SEGMENTATION OF THE OPTIC DISC
FOR GLAUCOMA EVALUATION. Page 1 ©INAOE 2023 Derechos Reservados El autor otorga …
FOR GLAUCOMA EVALUATION. Page 1 ©INAOE 2023 Derechos Reservados El autor otorga …
[引用][C] Dynamic Diffusion Flow for Domain Adaptive Optic Disc and Cup Segmentation in Fundus Images
C Li, D Liu, W Cai - Medical Imaging with Deep Learning, 2024