Automated detection of nonmelanoma skin cancer using digital images: a systematic review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging
Link
http://link.springer.com/content/pdf/10.1186/s12880-019-0307-7.pdf
Reference58 articles.
1. Rogers HW, Weinstock MA, Feldman SR, Coldiron BM. Incidence estimate of nonmelanoma skin cancer (keratinocyte carcinomas) in the US population. JAMA Dermatol. 2015. https://doi.org/10.1001/jamadermatol.2015.1187 .
2. Gillard M, Wang TS, Johnson TM. Nonmelanoma cutaneous malignancies. In: Chang AE, Ganz PA, Hayes DF, Kinsella T, Pass HI, Schiller JH, et al., editors. Oncology. New York: Springer; 2006. p. 1102–18.
3. Breitbart EW, Waldmann A, Nolte S, Capellaro M, Greinert R, Volkmer B, et al. Systematic skin cancer screening in northern Germany. J Am Acad Dermatol. 2012;66:201–11.
4. Sigurdsson S, Philipsen PA, Hansen LK, Larsen J, Gniadecka M, Wulf HC. Detection of skin cancer by classification of Raman spectra. IEEE Trans Biomed Eng. 2004. https://doi.org/10.1109/TBME.2004.831538 .
5. Jørgensen TM, Tycho A, Mogensen M, Bjerring P, Jemec GB. Machine-learning classification of non-melanoma skin cancers from image features obtained by optical coherence tomography. Skin Res Technol. 2008. https://doi.org/10.1111/j.1600-0846.2008.00304.x .
Cited by 61 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. Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects;Computers in Biology and Medicine;2024-08
2. Visible and near infrared LCTF-based hyperspectral dermoscope targeting early detection of skin cancer;Optics, Photonics, and Digital Technologies for Imaging Applications VIII;2024-06-18
3. Artificial intelligence for nonmelanoma skin cancer;Clinics in Dermatology;2024-06
4. A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis;npj Digital Medicine;2024-05-14
5. Deep ensemble model for skin cancer classification with improved feature set;Multimedia Tools and Applications;2024-04-24
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