Artificial Intelligence in Teledermatology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Dermatology
Link
http://link.springer.com/content/pdf/10.1007/s13671-019-0259-8.pdf
Reference40 articles.
1. Codella NCF, Gutman D, Celebi ME et al. Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC). 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). 2018. https://doi.org/10.1109/ISBI.2018.8363547 .
2. Rastgoo M, Lemaître G, Morel O, et al. Classification of melanoma lesions using sparse coded features and random forests. SPIE Medical Imaging. 2016. https://doi.org/10.1117/12.2216973 .
3. • LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436–44. This survey provides a layman’s introduction to deep learning and gives an overview of the widespread success of CNN architectures particularly in setting the state-of-the-art in facial recognition and object detection.
4. Coudray N, Ocampo PS, Sakellaropoulos T, Narula N, Snuderl M, Fenyö D, et al. Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning. Nat Med. 2018;24:1559–67.
5. Pereira S, Pinto A, Alves V, Silva CA. Brain tumor segmentation using convolutional neural networks in MRI images. IEEE Trans Med Imaging. 2016;35:1240–51.
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. Artificial intelligence in the detection of skin cancer: State of the art;Clinics in Dermatology;2024-05
2. Artificial intelligence and skin cancer;Frontiers in Medicine;2024-03-19
3. Does the Diagnostic Accuracy and Rates of Face-to-Face Visits Occurring Shortly after an Asynchronized Teledermatology Consultation Justify Its Implementation? An 18-Month Cohort Study;Dermatology;2024
4. Artificial Intelligence in Cosmetic Dermatology: A Systematic Literature Review;IEEE Access;2023
5. Artificial Intelligence and Teledermatology;Updates in Clinical Dermatology;2023
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