Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique

Article Properties
Journal Categories
Medicine
Medicine (General)
Medicine
Medicine (General)
Medical physics
Medical radiology
Nuclear medicine
Refrences
Title Journal Journal Categories Citations Publication Date
RADCU-Net: residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation International Journal of Machine Learning and Cybernetics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
11 2023
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
12 2022
10.4018/IJFSA.296693 2022
Efficient Segmentation and Registration of Retinal Image Using Gumble Probability Distribution and BRISK Feature

Traitement du Signal
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Engineering (General). Civil engineering (General)
7 2020
10.1016/S2213-8587(19)30411-5 2020