Author/Editor		Zagrouba, Ezzeddine; Barhoumi, Walid
Title		A prelimary approach for the automated recognition of malignant melanoma
Type		članek
Source		Image Anal Stereol
Vol. and No.		Letnik 23, št. 2
Publication year		2004
Volume		str. 121-35
Language		eng
Abstract		In this work, we are motivated by the desire to classify skin lesions as malignants or benigns from color photographic slides of the lesions. Thus, we use color images of skin lesions, image processing techniques and artificial neural network classifier to distinguish melanoma from benign pigmented lesions. As the first step of the data set analysis, a preprocessing sequence is implemented to remove noise and undesired structures from the color image. Second, an automated segmentation approach localizes suspicious lesion regions by region growing after a preliminary step based on fuzzy sets. Then, we rely on quantitative image analysis to measure a series of candidate attributes hoped to contain enough information to differentiate melanomas from benign lesions. At last, the selected features are supplied to an artificial neural network for classification of tumor lesion as malignant or benign. For a preliminary balanced training/testing set, our approach is able to obtain 79.1% of correct classification of malignant and benign lesions on real skin lesion images.
Descriptors		MELANOMA SKIN NEOPLASMS DIAGNOSIS, COMPUTER-ASSISTED IMAGE INTERPRETATION, COMPUTER-ASSISTED