We present a novel technique for melanocytic lesion segmentation, based on mono-dimensional Principal Component Analysis (PCA) in colour space. Our technique is simple and extremely fast, segmenting high-resolution images in a fraction of a second even with the modest computational resources available on a cell phone – an improvement of an order of magnitude or more over state-of-the-art techniques. Our technique is also extremely accurate: very experienced dermatologists disagree with its segmentations less than they disagree with the segmentations of all state-of-the-art techniques we tested, and in fact less than they disagree with the segmentations of dermatologists of moderate experience.

Simple, Fast, Accurate Melanocytic Lesion Segmentation in 1D Colour Space

PERUCH, FRANCESCO;BOGO, FEDERICA;BONAZZA, MICHELE;BRESSAN, MARCO;CAPPELLERI, VINCENZO MARIA;PESERICO STECCHINI NEGRI DE SALVI, ENOCH
2013

Abstract

We present a novel technique for melanocytic lesion segmentation, based on mono-dimensional Principal Component Analysis (PCA) in colour space. Our technique is simple and extremely fast, segmenting high-resolution images in a fraction of a second even with the modest computational resources available on a cell phone – an improvement of an order of magnitude or more over state-of-the-art techniques. Our technique is also extremely accurate: very experienced dermatologists disagree with its segmentations less than they disagree with the segmentations of all state-of-the-art techniques we tested, and in fact less than they disagree with the segmentations of dermatologists of moderate experience.
2013
Proceedings of VISAPP 2013
8th Internation Conference on Computer Vision Theory and Applications (VISAPP 2013)
9789898565471
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2594645
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