Hyperspectral imaging in automated digital dermoscopy screening for melanoma.

ABSTRACT:

Objectives

Early melanoma detection decreases morbidity and mortality. Early detection classically involves dermoscopy to identify suspicious lesions for which biopsy is indicated. Biopsy and histological examination then diagnose benign nevi, atypical nevi, or cancerous growths. With current methods, a considerable number of unnecessary biopsies are performed as only 11% of all biopsied, suspicious lesions are actually melanomas. Thus, there is a need for more advanced noninvasive diagnostics to guide the decision of whether or not to biopsy. Artificial intelligence can generate screening algorithms that transform a set of imaging biomarkers into a risk score that can be used to classify a lesion as a melanoma or a nevus by comparing the score to a classification threshold. Melano

SUBMITTER: Hosking AM 

PROVIDER: S-EPMC6519386 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature