Segmentation of Retinal Microvasculature Based on Iterative Self-Organizing Data Analysis Technique (ISODATA)

Segmentation of Retinal Microvasculature Based on Iterative Self-Organizing Data Analysis Technique (ISODATA)

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Bibliographic Details
Main Authors: Mohammed Enamul, Hoque, Kuryati, Kipli, Tengku Mohd Afendi, Zulcaffle, Dayang Azra, Awang Mat, Annie, Joseph, Nurdiani, Zamhari, Rohana, Sapawi, Mohammad, Yasin
Format: Proceeding
Language:English
Published: 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/28251/1/Segmentation%20of%20Retinal%20Microvasculature%20Based%20on%20Iterative%20Self-Organizing%20Data%20Analysis%20Technique%20%28ISODATA%29%20%28title%29.pdf
http://ir.unimas.my/id/eprint/28251/
https://ir.unimas.my/id/eprint/28251/1/Segmentation%20of%20Retinal%20Microvasculature%20Based%20on%20Iterative%20Self-Organizing%20Data%20Analysis%20Technique%20(ISODATA)%20(title).pdf
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Institution: Universiti Malaysia Sarawak
Language: English

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http://ir.unimas.my/id/eprint/28251/1/Segmentation%20of%20Retinal%20Microvasculature%20Based%20on%20Iterative%20Self-Organizing%20Data%20Analysis%20Technique%20%28ISODATA%29%20%28title%29.pdf
http://ir.unimas.my/id/eprint/28251/
https://ir.unimas.my/id/eprint/28251/1/Segmentation%20of%20Retinal%20Microvasculature%20Based%20on%20Iterative%20Self-Organizing%20Data%20Analysis%20Technique%20(ISODATA)%20(title).pdf

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