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1
Visionary Insights: CNN-Driven Retinal Vessel Segmentation ..:
, In:
2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)
,
S, Sivagami
;
M, Gopinath
;
J, Yuktha Varshika
... - p. 1-7 , 2024
Link:
https://doi.org/10.1109/AMATHE61652.2024.10582129
RT T1 <cTitle>2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)</cTitle>: T1 <Title>Visionary Insights: CNN-Driven Retinal Vessel Segmentation in Ophthalmic Imaging</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10582129&Exemplar=1&LAN=DE A1 S, Sivagami A1 M, Gopinath A1 J, Yuktha Varshika A1 V, Srivarshinie A1 R, Monikaa A1 K, Senthil YR 2024 K1 Deep learning K1 Image segmentation K1 Matched filters K1 Machine learning algorithms K1 Accuracy K1 Computer architecture K1 Data augmentation K1 Retinal vessel segmentation K1 Ophthalmic imaging K1 Convolutional Neural Network K1 Matched filter methods K1 Morphological segmentation SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/AMATHE61652.2024.10582129 DO https://doi.org/10.1109/AMATHE61652.2024.10582129 SF ELIB - SuUB Bremen
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