Automatic segmentation of dermoscopy images using saliency combined with Otsu threshold

Segmentation is one of the crucial steps for the computer-aided diagnosis (CAD) of skin cancer with dermoscopy images. To accurately extract lesion borders from dermoscopy images, a novel automatic segmentation algorithm using saliency combined with Otsu threshold is proposed in this paper, which in...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Computers in biology and medicine Ročník 85; s. 75 - 85
Hlavní autori:	Fan, Haidi, Xie, Fengying, Li, Yang, Jiang, Zhiguo, Liu, Jie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 01.06.2017 Elsevier Limited
Predmet:	Accuracy Algorithms Automatic segmentation Automation Borders Brightness CAD Cancer Cluster Analysis Color Computer aided design Computer-aided diagnosis Databases, Factual Dermatology Dermoscopy - methods Dermoscopy images Diagnosis Genetic algorithms Humans Image Interpretation, Computer-Assisted - methods Image processing Image segmentation Internal Medicine International conferences Medical diagnosis Melanoma Methods Microscopy Neurosciences Optimization Other Pattern recognition Researchers Robustness Saliency Skin cancer Skin Neoplasms - diagnostic imaging State of the art Threshold Saliency Automatic segmentation Dermoscopy images Computer-aided diagnosis Threshold
ISSN:	0010-4825, 1879-0534, 1879-0534
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!