Systematic Survey of Deep Fuzzy Computer Vision in Biomedical Research

Systematic Survey of Deep Fuzzy Computer Vision in Biomedical Research

This systematic survey explores the landscape of fuzzy computer vision techniques in biomedical research using articles from the Scopus database over the past decade. With a focus on methodologies, applications, and challenges, the survey aims to guide future research at the intersection of fuzzy lo...

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Bibliographic Details
Main Authors: Rashid Baimukashev, Shirali Kadyrov, Cemil Turan
Format: Article
Language:English
Published: Tsinghua University Press 2024-09-01
Series:Fuzzy Information and Engineering
Subjects:
fuzzy computer vision
biomedical research
deep learning
image analysis
deep neural networks
algorithm
artificial intellegence
Online Access:https://www.sciopen.com/article/10.26599/FIE.2024.9270043

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https://www.sciopen.com/article/10.26599/FIE.2024.9270043

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