Classification of basal cell carcinoma in ex vivo confocal microscopy images from freshly excised tissues using a deep learning algorithm

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 images requires specialized training. An automated approach using a Deep Learning algorithm to BCC detection in EVCM images can aid in diagnosis. 40 BCCs and 28 negative ( “not-BCC”) samples were collected at Memorial Sloan Kettering Cancer Center to create three training datasets: 1) EVCM image dataset (663 images), 2) H&E image dataset (516 images), and 3) a combination of the two datasets.

Source: Journal of Investigative Dermatology - October 22, 2021 Category: Dermatology Authors: Mercedes Send ín-Martín, Manuel Lara-Caro, Ucalene Harris, Matthew Moronta, Anthony Rossi, Erica Lee, Chih-Shan Jason Chen, Kishwer Nehal, Julián Conejo-Mir Sánchez, José-Juan Pereyra-Rodríguez, Manu Jain Tags: Original Article Source Type: research