SKIN LESION SEGMENTATION USING DEEP CONVOLUTION NETWORKS GUIDED BY LOCAL UNSUPERVISED LEARNING

SKIN LESION SEGMENTATION USING DEEP CONVOLUTION NETWORKS GUIDED BY LOCAL UNSUPERVISED LEARNING

computing a confidence score function F according to {circumflex over (F)}=arg min(FTLF+μ∥F−Y∥2); and integrating the confidence score function F with the pixelwise prediction scores to produce a final segmentation of the dermoscopic image into lesion and background areas.

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Bibliographische Detailangaben
Hauptverfasser: ROY, PALLAB, SEDAI, SUMAN, GARNAVI, RAHIL, BOZORGTABAR, SEYEDBEHZAD
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:computing a confidence score function F according to {circumflex over (F)}=arg min(FTLF+μ∥F−Y∥2); and integrating the confidence score function F with the pixelwise prediction scores to produce a final segmentation of the dermoscopic image into lesion and background areas.