Deep‐learning‐based, computer‐aided classifier developed with a small dataset of clinical images surpasses board‐certified dermatologists in skin tumour diagnosis
Author:
Affiliation:
1. Dermatology Division University of Tsukuba 1‐1‐1 Tennodai Tsukuba Ibaraki Japan 305‐8577
2. Kyocera Communications System Co., Ltd Kyoto Japan
3. KCCS Mobile Engineering Co., Ltd Tokyo Japan
4. Dermatology Akasaka Toranomon Clinic Tokyo Japan
Publisher
Wiley
Subject
Dermatology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/bjd.16924
Reference52 articles.
1. A systematic review of worldwide incidence of nonmelanoma skin cancer
2. Incidence Estimate of Nonmelanoma Skin Cancer in the United States, 2006
3. U.S. Cancer Statistics Working Group.United States Cancer Statistics: 1999–2014 incidence and mortality web‐based report. Available at:https://www.cdc.gov/cancer/npcr/pdf/uscs_factsheet.pdf(last accessed 12 September 2018).
4. Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
5. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms
Cited by 201 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. Dermoscopic dark corner artifacts removal: Friend or foe?;Computer Methods and Programs in Biomedicine;2024-02
2. Color Analysis of Merkel Cell Carcinoma: A Comparative Study with Cherry Angiomas, Hemangiomas, Basal Cell Carcinomas, and Squamous Cell Carcinomas;Diagnostics;2024-01-22
3. Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review;Frontiers in Medicine;2024-01-08
4. Structure‐Based Machine Learning Enables Discovery of Mn4+‐Activated Red‐Light Fluorides for Ultrawide‐Gamut Mini‐Light‐Emitting Diodes;Advanced Functional Materials;2023-12-22
5. Preliminary evaluation of the potential of commercially available large language models in diagnosing skin tumours;Clinical and Experimental Dermatology;2023-12-04
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