Informative OCT radiomic features towards improved melanoma detection

Brandon Łukas; Maria Tsoukas; Kamran Avanaki

doi:10.1117/12.2613020

3 March 2022 Informative OCT radiomic features towards improved melanoma detection

Brandon Łukas, Maria Tsoukas, Kamran Avanaki

Proceedings Volume 11934, Photonics in Dermatology and Plastic Surgery 2022; 119340F (2022) https://doi.org/10.1117/12.2613020
Event: SPIE BiOS, 2022, San Francisco, California, United States

Conference Poster

Abstract

Survival from melanoma, the deadliest form of skin cancer, depends heavily on early detection. Several non-invasive medical imaging modalities have been developed to detect melanoma, of which optical coherence tomography (OCT) is gaining popularity. Although OCT generally does not yet provide sufficient performance in detecting melanoma, radiomic studies involving quantitative OCT image analysis demonstrate promising results. We propose extracting a large set of radiomic features from OCT images of skin, exploring how the features differ between melanoma and non-melanoma, and performing feature selection to identify the most informative OCT radiomic features that characterize melanoma for improved melanoma detection.

Citation Download Citation

Brandon Łukas, Maria Tsoukas, and Kamran Avanaki "Informative OCT radiomic features towards improved melanoma detection", Proc. SPIE 11934, Photonics in Dermatology and Plastic Surgery 2022, 119340F (3 March 2022); https://doi.org/10.1117/12.2613020

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