Staircase-Net: a deep learning based architecture for retinal blood vessel segmentation

SRIVARADHARAJAN SETHURAMAN; Varun P. Gopi

doi:10.1007/s12046-022-01936-w

ScienceGate Book Chapters

JOURNAL ARTICLE

Staircase-Net: a deep learning based architecture for retinal blood vessel segmentation

SRIVARADHARAJAN SETHURAMAN Varun P. Gopi

Year: 2022 Journal: Sadhana Vol: 47 (4) Publisher: Springer Science+Business Media

DOI: 10.1007/s12046-022-01936-w

Get Full-Text PDF Get Analytical Report

Keywords:

Segmentation Retinal Preprocessor Convolutional neural network Computer science Artificial intelligence Retina Diabetic retinopathy Pattern recognition (psychology) Blood vessel Feature (linguistics) Computer vision Ophthalmology Medicine Biology Neuroscience Diabetes mellitus Internal medicine

Metrics

Cited By

1.17

FWCI (Field Weighted Citation Impact)

Refs

0.72

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Retinal and Optic Conditions

Health Sciences → Medicine → Ophthalmology

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Staircase-Net: a deep learning based architecture for retinal blood vessel segmentation

Metrics

Citation History

Topics

Related Documents

Deep Learning-Based Retinal Blood Vessel Segmentation Using U-Net Architecture

Retinal Blood Vessel Segmentation Using Twin U-Net based Deep Learning Architecture

Sine-Net: A fully convolutional deep learning architecture for retinal blood vessel segmentation

MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation

DEEP LEARNING-BASED RETINAL VESSEL SEGMENTATION: ATTENTION U-NET