Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy

Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy

Image classification with convolutional neural networks (CNN) offers an unprecedented opportunity to medical imaging. Regulatory agencies in the USA and Europe have already cleared numerous deep learning/machine learning based medical devices and algorithms. While the field of radiology is on the fo...

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Bibliographic Details
Main Authors: Cristel Ruini, Sophia Schlingmann, Žan Jonke, Pinar Avci, Víctor Padrón-Laso, Florian Neumeier, Istvan Koveshazi, Ikenna U. Ikeliani, Kathrin Patzer, Elena Kunrad, Benjamin Kendziora, Elke Sattler, Lars E. French, Daniela Hartmann
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Cancers
Subjects:
squamous cell carcinoma
ex vivo confocal laser scanning microscopy
reflectance confocal microscopy
fluorescence confocal microscopy
digital pathology
digital staining
Online Access:https://www.mdpi.com/2072-6694/13/21/5522

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https://www.mdpi.com/2072-6694/13/21/5522

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