Artificial Intelligence in Skin Cancer: Diagnosis and Therapy
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-0364-8_9
Reference122 articles.
1. Leiter U, Keim U, Garbe C (2020) Epidemiology of skin Cancer: update 2019. Adv Exp Med Biol 1268:123–139. https://doi.org/10.1007/978-3-030-46227-7_6
2. Sacchetto L, Zanetti R, Comber H, Bouchardy C, Brewster DH, Broganelli P et al (2018) Trends in incidence of thick, thin and in situ melanoma in Europe. Eur J Cancer 92:108–118. https://doi.org/10.1016/j.ejca.2017.12.024
3. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM et al (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115–118. https://doi.org/10.1038/nature21056
4. Narla A, Kuprel B, Sarin K, Novoa R, Ko J (2018) Automated classification of skin lesions: from pixels to practice. J Invest Dermatol 138(10):2108–2110. https://doi.org/10.1016/j.jid.2018.06.175
5. Brinker TJ, Schlager G, French LE, Jutzi T, Kittler H (2020) Computer-assisted skin cancer diagnosis: is it time for artificial intelligence in clinical practice? Hautarzt 71(9):669–676. https://doi.org/10.1007/s00105-020-04662-8
Cited by 4 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. Aiding from Deep Learning Applications in the Classification of Medical Images;Lecture Notes in Networks and Systems;2024
2. An efficient skin cancer detection and classification using Improved Adaboost Aphid–Ant Mutualism model;International Journal of Imaging Systems and Technology;2023-07-12
3. Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets;Intelligent Systems;2022
4. Dermatology disease prediction based on firefly optimization of ANFIS classifier;AIMS Electronics and Electrical Engineering;2022
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