HSV model‐based segmentation driven facial acne detection using deep learning

Author:

Yadav Neha1,Alfayeed Sk Md1,Khamparia Aditya2ORCID,Pandey Babita3,Thanh Dang N. H.4,Pande Sagar1

Affiliation:

1. School of Computer Science and Engineering Lovely Professional University Jalandhar India

2. Department of Computer Science Babasaheb Bhimrao Ambedkar University Satellite Centre, Tikarmafi Amethi India

3. Department of Computer Science Babasaheb Bhimrao Ambedkar University Lucknow India

4. Department of IT University of Economics Ho Chi Minh City Ho Chi Minh Vietnam

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference23 articles.

1. AishwariaS. (2020).Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs).https://www.analyticsvidhya.com/blog/2020/02/mathematics-behind-convolutional-neural-network/.

2. Detection and classification of acne lesions in acne patients: A mobile application

3. Facial Skin Classification Using Convolutional Neural Networks

4. Detection and Inpainting of Facial Wrinkles Using Texture Orientation Fields and Markov Random Field Modeling

Cited by 35 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi‐model deep learning system for screening human monkeypox using skin images;Expert Systems;2024-06-09

2. Acne Classification using Deep Learning Models;2024 1st International Conference on Communications and Computer Science (InCCCS);2024-05-22

3. Semi-Supervised Facial Acne Segmentation Using Bidirectional Copy–Paste;Diagnostics;2024-05-17

4. Initial Approach to the Identification Degree of Skin Damage and Classification of Acne by YOLOv8;Proceedings of the 2024 9th International Conference on Intelligent Information Technology;2024-02-23

5. AcneAI+: Revolutionizing Dermatology Through Advanced Machine Learning;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3