Artif Intell Med - Computerized analysis of pigmented skin lesions: a review.

Tópicos

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Resumo

JECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of research that dates back over 25years. One of its main goals is to develop reliable automatic instruments for recognizing skin cancer from images acquired in vivo. This paper presents a review of this research applied to microscopic (dermoscopic) and macroscopic (clinical) images of PSLs. The review aims to: (1) provide an extensive introduction to and clarify ambiguities in the terminology used in the literature and (2) categorize and group together relevant references so as to simplify literature searches on a specific sub-topic.METHODS AND MATERIAL: The existing literature was classified according to the nature of publication (clinical or computer vision articles) and differentiating between individual and multiple PSL image analysis. We also emphasize the importance of the difference in content between dermoscopic and clinical images.RESULTS: Various approaches for implementing PSL computer-aided diagnosis systems and their standard workflow components are reviewed and summary tables provided. An extended categorization of PSL feature descriptors is also proposed, associating them with the specific methods for diagnosing melanoma, separating images of the two modalities and discriminating references according to our classification of the literature.CONCLUSIONS: There is a large discrepancy in the number of articles published on individual and multiple PSL image analysis and a scarcity of reported material on the automation of lesion change detection. At present, computer-aided diagnosis systems based on individual PSL image analysis cannot yet be used to provide the best diagnostic results. Furthermore, the absence of benchmark datasets for standardized algorithm evaluation is a barrier to a more dynamic development of this research area.

Resumo Limpo

jectiv computer analysi pigment skin lesion psls activ area research date back year one main goal develop reliabl automat instrument recogn skin cancer imag acquir vivo paper present review research appli microscop dermoscop macroscop clinic imag psls review aim provid extens introduct clarifi ambigu terminolog use literatur categor group togeth relev refer simplifi literatur search specif subtopicmethod materi exist literatur classifi accord natur public clinic comput vision articl differenti individu multipl psl imag analysi also emphas import differ content dermoscop clinic imagesresult various approach implement psl computeraid diagnosi system standard workflow compon review summari tabl provid extend categor psl featur descriptor also propos associ specif method diagnos melanoma separ imag two modal discrimin refer accord classif literatureconclus larg discrep number articl publish individu multipl psl imag analysi scarciti report materi autom lesion chang detect present computeraid diagnosi system base individu psl imag analysi yet use provid best diagnost result furthermor absenc benchmark dataset standard algorithm evalu barrier dynam develop research area

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