Retinal blood vessels : methods for fundus image / Aziah Ali, Aini Hussain, Wan Mimi Diyana Wan Zaki.
Publisher: Bangi, Selangor : Penerbit Universiti Kebangsaan Malaysia, 2022Copyright date: ©2022Description: 166 pages : illustrations ; 23 cmContent type:- text
- unmediated
- volume
- 9789672519041
| 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 5) | - | 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 |
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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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