reflectance confocal microscopy
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Oral Oncology ◽  
2022 ◽  
Vol 125 ◽  
pp. 105674
Paula Silva Ferreira ◽  
Lilian Rocha ◽  
Ana Patricia Carneiro Bezerra ◽  
Marcello Menta Simonsen Nico ◽  
Silvia Vanessa Lourenço

2022 ◽  
Vol 11 (2) ◽  
pp. 429
Ana Maria Malciu ◽  
Mihai Lupu ◽  
Vlad Mihai Voiculescu

Reflectance confocal microscopy (RCM) is a non-invasive imaging method designed to identify various skin diseases. Confocal based diagnosis may be subjective due to the learning curve of the method, the scarcity of training programs available for RCM, and the lack of clearly defined diagnostic criteria for all skin conditions. Given that in vivo RCM is becoming more widely used in dermatology, numerous deep learning technologies have been developed in recent years to provide a more objective approach to RCM image analysis. Machine learning-based algorithms are used in RCM image quality assessment to reduce the number of artifacts the operator has to view, shorten evaluation times, and decrease the number of patient visits to the clinic. However, the current visual method for identifying the dermal-epidermal junction (DEJ) in RCM images is subjective, and there is a lot of variation. The delineation of DEJ on RCM images could be automated through artificial intelligence, saving time and assisting novice RCM users in studying the key DEJ morphological structure. The purpose of this paper is to supply a current summary of machine learning and artificial intelligence’s impact on the quality control of RCM images, key morphological structures identification, and detection of different skin lesion types on static RCM images.

Luca Potestio ◽  
Alessia Villani ◽  
Sonia Sofia Ocampo‐Garza ◽  
Emanuela Evangelista ◽  
Mario De Lucia ◽  

2021 ◽  
Vol Publish Ahead of Print ◽  
Sharon Rosales-Duran ◽  
Marcela Ricaurte-Jiménez ◽  
Paula S. Ferreira ◽  
Martin Sangueza ◽  
Silvia V. Lourenço ◽  

2021 ◽  
Vol 55 (4) ◽  
pp. 158-168
Fezal Özdemir ◽  
Mehmet Salih Gürel ◽  
Işıl Karaarslan ◽  
Vefa Aslı Turgut Erdemir ◽  
Ayşe Esra Koku Aksu ◽  

Nadiya Chuchvara ◽  
Banu Farabi ◽  
David Milgraum ◽  
Young Lee ◽  
Paola Chamorro ◽  

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