Retinal blood vessel segmentation based on densely connected U-net

DOI10.3934/mbe.2020175zbMath1467.92090OpenAlexW3016758910WikidataQ100312415 ScholiaQ100312415MaRDI QIDQ2038699

Yanyan Li

Publication date: 7 July 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020175

zbMATH Keywords

neural networksblood vessel segmentationdense blockretinal fundus imageU-net

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Medical applications (general) (92C50)

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Uses Software

• U-Net

Cites Work

• AUTOMATIC RETINAL VESSEL DETECTION AND TORTUOSITY MEASUREMENT
• Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation