Recent Advances in Melanoma Diagnosis and Prognosis Using Machine Learning Methods
Author:
Funder
Dermatology Foundation
Skin Cancer Foundation
U.S. Department of Veterans Affairs
Publisher
Springer Science and Business Media LLC
Subject
Oncology
Link
https://link.springer.com/content/pdf/10.1007/s11912-023-01407-3.pdf
Reference94 articles.
1. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115–8.
2. Meng X, Chen J, Zhang Z, Li K, Li J, Yu Z, et al. Non-invasive optical methods for melanoma diagnosis. Photodiagnosis Photodyn Ther. 2021;34:102266.
3. Shahriari N, Rabinovitz H, Oliviero M, Grant-Kels JM. Reflectance confocal microscopy: melanocytic and nonmelanocytic. Clin Dermatol. 2021;39(4):643–56.
4. Serag A, Ion-Margineanu A, Qureshi H, McMillan R, Saint Martin M-J, Diamond J, et al. Translational AI and deep learning in diagnostic pathology. Front Med. 2019;1(6):185.
5. Young AT, Xiong M, Pfau J, Keiser MJ, Wei ML. Artificial intelligence in dermatology: a primer. J Invest Dermatol. 2020;140(8):1504–12.
Cited by 9 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. Diagnostic reproducibility of the 2018 Classification of Gingival Recessions: Comparing photographic and in‐person diagnoses;Journal of Periodontology;2024-08-26
2. Advances in Melanoma: From Genetic Insights to Therapeutic Innovations;Biomedicines;2024-08-14
3. AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging;Journal of Medical Imaging;2024-08-06
4. Deep Learning Techniques for the Dermoscopic Differential Diagnosis of Benign/Malignant Melanocytic Skin Lesions: From the Past to the Present;Bioengineering;2024-07-26
5. Lentigo maligna: a comprehensive review on diagnosis and treatment;Italian Journal of Dermatology and Venereology;2024-07
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