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- W2212581760 abstract "In recent years, the incidence of skin cancer cases has risen, worldwide, mainly due to the prolonged exposure to harmful ultraviolet radiation. Concurrently, the computer-assisted medical diagnosis of skin cancer has undergone major advances, through an improvement in the instrument and detection technology, and the development of algorithms to process the information. Moreover, because there has been an increased need to store medical data, for monitoring, comparative and assisted-learning purposes, algorithms for data processing and storage have also become more efficient in handling the increase of data. In addition, the potential use of common mobile devices to register high-resolution images of skin lesions has also fueled the need to create real-time processing algorithms that may provide a likelihood for the development of malignancy. This last possibility allows even non-specialists to monitor and follow-up suspected skin cancer cases. In this review, we present the major steps in the pre-processing, processing and post-processing of skin lesion images, with a particular emphasis on the quantification and classification of pigmented skin lesions. We further review and outline the future challenges for the creation of minimum-feature, automated and real-time algorithms for the detection of skin cancer from images acquired via common mobile devices." @default.
- W2212581760 created "2016-06-24" @default.
- W2212581760 creator A5027063174 @default.
- W2212581760 creator A5056546246 @default.
- W2212581760 creator A5083476174 @default.
- W2212581760 date "2015-09-28" @default.
- W2212581760 modified "2023-10-06" @default.
- W2212581760 title "A Review of the Quantification and Classification of Pigmented Skin Lesions: From Dedicated to Hand-Held Devices" @default.
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- W2212581760 doi "https://doi.org/10.1007/s10916-015-0354-8" @default.
- W2212581760 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26411929" @default.
- W2212581760 hasPublicationYear "2015" @default.
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