Blood Vessel Segmentation from Fundus Images Using Modified U-net Convolutional Neural Network

Afolabi O. Joshua; Fulufhelo V. Nelwamondo; Gugulethu Mabuza-Hocquet

doi:10.18178/joig.8.1.21-25

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Blood Vessel Segmentation from Fundus Images Using Modified U-net Convolutional Neural Network

Afolabi O. Joshua Fulufhelo V. Nelwamondo Gugulethu Mabuza-Hocquet

Year: 2020 Journal: Journal of Image and Graphics Vol: 8 (1)Pages: 21-25

DOI: 10.18178/joig.8.1.21-25

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Keywords:

Convolutional neural network Fundus (uterus) Artificial intelligence Computer science Segmentation Pattern recognition (psychology) Computer vision Ophthalmology Medicine

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Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Blood Vessel Segmentation from Fundus Images Using Modified U-net Convolutional Neural Network

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Citation History

Topics

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