Article citationsMore>>
Wang, H., Moss, R.H., Chen, X., Stanley, R.J., Stoecker, W.V., Celebi, M.E., Malters, J.M., Grichnik, J.M., Marghoob, A.A., Rabinovitz, H.S., Menzies, S. and Szalapski, T.M. (2011) Modified Watershed Technique and Post-Processing for Segmentation of Skin Lesions in Dermoscopy Images. Computerized Medical Imaging and Graphics, 35, 116-120.
https://doi.org/10.1016/j.compmedimag.2010.09.006
has been cited by the following article:
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TITLE:
An Intelligent Algorithm for Skin Cancer Detection
AUTHORS:
Amin Nazerzadeh, Afsaneh Nouri Houshyar, Alireza Jahed
KEYWORDS:
Skin Cancer, Malignant, Benign, Image Processing, Log Edge Detector, Segmentation
JOURNAL NAME:
Intelligent Control and Automation,
Vol.11 No.1,
February
28,
2020
ABSTRACT: Nowadays, computer vision as an interdisciplinary field is growing in different areas such as medical, electronics, etc. In the field, detection and particularly image segmentation is an essential task in which is difficult to find the appropriate one based on the application. In this paper, a new algorithm is proposed to segment the lesion from background. The algorithm is based on log edge detector with iterative median filtering. We have tested our algorithm on 20 dermoscopic images and compare the lesion detection results with those manually segmented by dermatologists. The experiments represent the effectiveness of proposed algorithm.
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