IOSUDA: an unsupervised domain adaptation with input and output space alignment for joint optic disc and cup segmentation
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
IOSUDA: an unsupervised domain adaptation with input and output space alignment for joint optic disc and cup segmentation
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-11-21
DOI
10.1007/s10489-020-01956-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
- (2020) Cheng Chen et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Unsupervised domain adaptive re-identification: Theory and practice
- (2020) Liangchen Song et al. PATTERN RECOGNITION
- Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
- (2019) Shujun Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
- (2019) José Ignacio Orlando et al. MEDICAL IMAGE ANALYSIS
- Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
- (2018) Huazhu Fu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation
- (2018) Huazhu Fu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
- (2018) Yuankai Huo et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Removing mismatches for retinal image registration via multi-attribute-driven regularized mixture model
- (2016) Gang Wang et al. INFORMATION SCIENCES
- Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey
- (2016) M. Caroline Viola Stella Mary et al. IEEE Access
- Robust point matching method for multimodal retinal image registration
- (2015) Gang Wang et al. Biomedical Signal Processing and Control
- Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening
- (2013) Jun Cheng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Accurate and Efficient Optic Disc Detection and Segmentation by a Circular Transformation
- (2011) Shijian Lu IEEE TRANSACTIONS ON MEDICAL IMAGING
- Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment
- (2011) G D Joshi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach
- (2010) Daniel Welfer et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques
- (2010) Arturo Aquino et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter
- (2008) Aliaa Abdel-Haleim Abdel-Razik Youssif et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation