Melanoma segmentation using bio-medical image analysis for smarter mobile healthcare
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/article/10.1007/s12652-019-01218-0/fulltext.html
Reference36 articles.
1. Abbas Q, Fondon I, Rashid M (2011a) “Unsupervised skin” lesions border detection via two-dimensional image analysis. Comput Methods Prog Biomed 104(3):e1–e15
2. Abbas Q, Fondón I, Rashid M (2011b) Unsupervised skinlesions border detection via two-dimensional image analysis. Comput Methods Prog Biomed 104(3):e1–e15
3. Abbas Q, Garcia IF, Emre Celebi M, Ahmad W, Mushtaq Q (2013) A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images. Skin Res Technol 19(1):e490–e497
4. Abuzaghleh O, Barkana BD, Faezipour M (2015) Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention. IEEE J Translat Eng Health Med 3:1–12
5. Akram MU, Tariq A, Khalid S, Javed MY, Abbas S, Yasin UU (2015) Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques. Aust Phys Eng Sci Med 38(4):643–655
Cited by 26 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. A pipeline methodology for melanoma detection using Developed design of the Archimedes optimizer;Biomedical Signal Processing and Control;2024-11
2. A computer aided system for skin cancer detection based on Developed version of the Archimedes Optimization algorithm;Biomedical Signal Processing and Control;2024-04
3. A Novel Melanoma Diagnosing System Using Multi-directional Pattern Extraction-Based Distributed Deep Learning Model;Lecture Notes in Electrical Engineering;2024
4. A deep insight into intelligent fractal-based image analysis with pattern recognition;Intelligent Fractal-Based Image Analysis;2024
5. Computer vision-based Deep Learning for Comprehensive Skin Cancer Detection: Precise Diagnosis and Early Intervention in Dermatology;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14
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