Skin Lesion Classification based on Deep Convolutional Neural Network
Author:
Affiliation:
1. Inner Mongolia Minzu University,Computer Science and Technology College,Tongliao,China
2. Yunnan Institute of Nationalities Yunnan Minzu University,Kunming,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9872525/9873533/09873756.pdf?arnumber=9873756
Reference18 articles.
1. Application of an artificial neural network in epiluminescence microscopy pattern analysis of pigmented skin lesions: a pilot study
2. Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
3. An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning;mishra;Computer Vision and Pattern Recognition,2016
4. Deepmole: Deep neural networks for skin mole lesion classification
5. Skin lesion classification from dermoscopy images using deep learning techniques[A];lopez;The IASTED Int Conf on Biomedical Engineering (BioMED),2017
Cited by 14 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. Cascaded Approach for Image Segmentation and Classification for Skin Cancer Detection;2024 5th International Conference for Emerging Technology (INCET);2024-05-24
2. A Deep Learning Approach for Classification of Vitiligo and Scar Images;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12
3. An adaptive weight search method based on the Grey wolf optimizer algorithm for skin lesion ensemble classification;International Journal of Imaging Systems and Technology;2024-03
4. Multi-modal bilinear fusion with hybrid attention mechanism for multi-label skin lesion classification;Multimedia Tools and Applications;2024-01-15
5. Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images;Algorithms;2023-10-02
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