Retinal blood vessel segmentation from fundus image using an efficient multiscale directional representation technique bendlets
type: Item
instance of: scholarly article
title: Retinal blood vessel segmentation from fundus image using an efficient multiscale directional representation technique bendlets
zbMATH Open document ID: 1471.92179
author: Rafsanjany Kushol
author: Md. Hasanul Kabir
author: M. Abdullah-Al-Wadud
author: Md Saiful Islam
published in: Mathematical Biosciences and Engineering
publication date: 2021-09-03T00:00:00Z
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 92C35
zbMATH DE Number: 7390476
zbMATH Keywords: bendlets
zbMATH Keywords: retinal blood vessel
zbMATH Keywords: ensemble classifier
zbMATH Keywords: medical image segmentation
zbMATH Keywords: contrast enhancement
zbMATH Keywords: multi-resolution
zbMATH Keywords: multi-scale transform
describes a project that uses: IterNet
MaRDI profile type: Publication
full work available at URL: mbe.2020394
OpenAlex ID: W3095850453
Wikidata QID: Q104619391
cites work: The Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames
cites work: Bendlets: a second-order shearlet transform with bent elements
DOI: 10.3934/MBE.2020394
description: scientific article; zbMATH DE number 7390476