Deep learning-based fully automated differential diagnosis of eyelid basal cell and sebaceous carcinoma using whole slide images
Author:
Publisher
AME Publishing Company
Subject
Radiology, Nuclear Medicine and imaging
Link
https://qims.amegroups.com/article/download/96669/pdf
Cited by 10 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. Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features;Skin Research and Technology;2024-01
2. A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges;Healthcare Analytics;2023-12
3. Einsatz künstlicher Intelligenz mittels Deep Learning in der dermatopathologischen Routinediagnostik des Basalzellkarzinoms;JDDG: Journal der Deutschen Dermatologischen Gesellschaft;2023-11
4. Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma;JDDG: Journal der Deutschen Dermatologischen Gesellschaft;2023-10-09
5. Clinical Applications of Machine Learning in the Management of Intraocular Cancers: A Narrative Review;Investigative Opthalmology & Visual Science;2023-07-21
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