AIMC Topic: Mohs Surgery
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Classification of Basal Cell Carcinoma in Ex Vivo Confocal Microscopy Images from Freshly Excised Tissues Using a Deep Learning Algorithm.
The Journal of investigative dermatology
Oct 23, 2021
Ex vivo confocal microscopy (EVCM) generates digitally colored purple-pink images similar to H&E without time-consuming tissue processing. It can be used during Mohs surgery for rapid detection of basal cell carcinoma (BCC); however, reading EVCM ima...
Whole-slide margin control through deep learning in Mohs micrographic surgery for basal cell carcinoma.
Experimental dermatology
Mar 3, 2021
BACKGROUND: Basal cell carcinoma (BCC) is the most common type of skin cancer with incidence rates rising each year. Mohs micrographic surgery (MMS) is most often chosen as treatment for BCC on the face for which each frozen section has to be histolo...
A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections.
Journal of the American Academy of Dermatology
Sep 11, 2020
A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.
Journal of the American Academy of Dermatology
Jun 23, 2020
Artificial intelligence for automatic detection of basal cell carcinoma from frozen tissue tangential biopsies.
Clinical and experimental dermatology
Jun 25, 2024
Evaluation of basal cell carcinoma (BCC) involves tangential biopsies of a suspicious lesion that is sent for frozen sections and evaluated by a Mohs micrographic surgeon. Advances in artificial intelligence (AI) have made possible the development of...
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