Novel Method for Border Irregularity Assessment in Dermoscopic Color Images
Background. One of the most important lesion features predicting malignancy is border irregularity. Accurate assessment of irregular borders is clinically important due to significantly different occurrence in benign and malignant skin lesions. Method. In this research, we present a new approach for...
Main Author: | Joanna Jaworek-Korjakowska |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2015/496202 |
Similar Items
-
A New Approach to Border Irregularity Assessment with Application in Skin Pathology
by: Pawel Kleczek Grzegorz Dyduch, et al.
Published: (2019-05-01) -
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images
by: Abder-Rahman Ali, et al.
Published: (2020-07-01) -
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images
by: Abder-Rahman Ali, et al.
Published: (2020-06-01) -
A Deep Learning Approach to Vascular Structure Segmentation in Dermoscopy Colour Images
by: Joanna Jaworek-Korjakowska
Published: (2018-01-01) -
Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines
by: Joanna Jaworek-Korjakowska
Published: (2016-01-01)