Performance Enhancement of Skin Cancer Classification Using Computer Vision
Author:
Affiliation:
1. Electrical Engineering Department, Suez Canal University, Ismailia, Egypt
2. Electrical Engineering Department, Port Said University, Port Said, Egypt
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10181245.pdf?arnumber=10181245
Reference64 articles.
1. Skin Lesion Classification Using Hybrid Deep Neural Networks
2. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;Proc Int Conf Mach Learn,2019
3. Skin lesion classification using deep multi-scale convolutional neural networks;devries;arXiv 1703 01402,2017
4. Deep Learning Based Application for Indoor Scene Recognition
5. DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images
Cited by 12 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. Transformer-based decoder of melanoma classification using hand-crafted texture feature fusion and Gray Wolf Optimization algorithm;MethodsX;2024-12
2. Binary Classification of Skin Cancer Images Using Pre-trained Networks with I-GWO;Inteligencia Artificial;2024-05-26
3. A Comprehensive Analysis on Skin Cancer Classification Using Transfer Learning;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25
4. A Review on the Various Methods for Classifying Skin Cancer;2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE);2024-02-23
5. Reduction of overfitting on the highly imbalanced ISIC-2019 skin dataset using deep learning frameworks;Journal of X-Ray Science and Technology;2024-02-02
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