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Retinal blood vessels : methods for fundus image / Aziah Ali, Aini Hussain, Wan Mimi Diyana Wan Zaki.

By: Contributor(s): Publisher: Bangi, Selangor : Penerbit Universiti Kebangsaan Malaysia, 2022Copyright date: ©2022Description: 166 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789672519041
Subject(s):
Contents:
Eyes are the window to your health -- Segmenting retinal blood vessels in fundus images -- Combining random forest with the frangi and B-cosfire filters for retinal blood vessel segmentation -- Extracting the retinaal vessel features -- The effectiveness of the fusion segmentation approach -- The contributions of fusion segmentation approach to retinal blood vessel analysis.
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Holdings
Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG BUKU BAHARU-P. TUN SERI LANANG (ARAS 4) - TA1638.4.A95 (Browse shelf(Opens below)) 1 Available 00002258642
ARKIB PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI ARKIB-P. TUN SERI LANANG (ARAS 6) - TA1638.4.A95 arkib (Browse shelf(Opens below)) 1 Available 00002276279

Includes bibliographical references [149]-163) and index.

Eyes are the window to your health -- Segmenting retinal blood vessels in fundus images -- Combining random forest with the frangi and B-cosfire filters for retinal blood vessel segmentation -- Extracting the retinaal vessel features -- The effectiveness of the fusion segmentation approach -- The contributions of fusion segmentation approach to retinal blood vessel analysis.

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