E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrha...
E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation
About this item
Full title
Author / Creator
Xu, Yongli , Meng, Fan , Yang, Hao , Lu, Shuai , Wang, Haihui and Hu, Man
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Glaucoma is a serious eye disease and glaucoma optic disc hemorrhage (GODH) is an important diagnostic indicator for glaucoma. Deep-learning-based medical image segmentation methods for automatic optic cup and disc segmentation have made tremendous progress. However, when it comes to the segmentation of GODH, classical deep learning technologies fa...
Alternative Titles
Full title
E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2880580837
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2880580837
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-023-15174-7
