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本文引用的文献

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Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attention.利用具有注意力机制的循环卷积神经网络对反射共聚焦显微镜图像进行皮肤层次划分。
Sci Rep. 2021 Jun 15;11(1):12576. doi: 10.1038/s41598-021-90328-x.
2
Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labels.使用弱标签对色素性病变的反射共聚焦显微镜拼接图像进行语义分割。
Sci Rep. 2021 Feb 11;11(1):3679. doi: 10.1038/s41598-021-82969-9.
3
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net).通过多尺度编码器-解码器网络（MED-Net）对体内黑素细胞病变共聚焦图像中的细胞模式进行分割。
Med Image Anal. 2021 Jan;67:101841. doi: 10.1016/j.media.2020.101841. Epub 2020 Oct 7.
4
Reflectance confocal microscopy: Diagnostic criteria of common benign and malignant neoplasms, dermoscopic and histopathologic correlates of key confocal criteria, and diagnostic algorithms.反射式共聚焦显微镜：常见良恶性肿瘤的诊断标准、关键共聚焦标准的皮肤镜和组织病理学相关性，以及诊断算法。
J Am Acad Dermatol. 2021 Jan;84(1):17-31. doi: 10.1016/j.jaad.2020.05.154. Epub 2020 Jun 18.
5
Meta-analysis of number needed to treat for diagnosis of melanoma by clinical setting.基于临床环境的黑素瘤诊断所需治疗人数的荟萃分析。
J Am Acad Dermatol. 2020 May;82(5):1158-1165. doi: 10.1016/j.jaad.2019.12.063. Epub 2020 Jan 11.
6
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.基于全切片图像的弱监督深度学习的临床级计算病理学。
Nat Med. 2019 Aug;25(8):1301-1309. doi: 10.1038/s41591-019-0508-1. Epub 2019 Jul 15.
7
Large-scale medical image annotation with crowd-powered algorithms.利用众包算法进行大规模医学图像标注
J Med Imaging (Bellingham). 2018 Jul;5(3):034002. doi: 10.1117/1.JMI.5.3.034002. Epub 2018 Sep 8.
8
Confocal Microscopy in Skin Cancer.皮肤癌中的共聚焦显微镜检查
Curr Dermatol Rep. 2018;7(2):105-118. doi: 10.1007/s13671-018-0218-9. Epub 2018 Apr 25.
9
Reflectance confocal microscopy as a second-level examination in skin oncology improves diagnostic accuracy and saves unnecessary excisions: a longitudinal prospective study.反射共聚焦显微镜作为皮肤科肿瘤学的二级检查，可提高诊断准确性并减少不必要的切除：一项纵向前瞻性研究。
Br J Dermatol. 2014 Nov;171(5):1044-51. doi: 10.1111/bjd.13148. Epub 2014 Oct 19.

Noninvasive Diagnosis of Melanoma Using Machine Learning and Reflectance Confocal Microscopy.

作者信息

Kentley Jonathan, Kurtansky Nicholas, Jain Manu, Cordova Miguel, Weber Jochen, Harris Ucalene, Alfonso Anabel, Halpern Allan C, Rotemberg Veronica, Rajadhyaksha Milind, Kose Kivanc

机构信息

Department of Dermatology, Chelsea and Westminster Hospital NHS Trust, London, United Kingdom; Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

出版信息

J Invest Dermatol. 2025 May 29. doi: 10.1016/j.jid.2025.05.019.

DOI:10.1016/j.jid.2025.05.019
PMID:40449657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12404568/
Abstract
摘要