A computational approach for detecting pigmented skin lesions in macroscopic images
نویسندگان
چکیده
Skin cancer is considered one of the most common types of cancer in several countries and its incidence rate has increased in recent years. Computational methods have been developed to assist dermatologists in early diagnosis of skin cancer. Computational analysis of skin lesion images has become a challenging research area due to the difficulty in discerning some types of skin lesions. A novel computational approach is presented for extracting skin lesion features from images based on asymmetry, border, colour and texture analysis, in order to diagnose skin lesion types. The approach is based on an anisotropic diffusion filter, an active contour model without edges and a support vector machine. Experiments were performed regarding the segmentation and classification of pigmented skin lesions in macroscopic images, with the results obtained being very promising.
منابع مشابه
Computational methods for the image segmentation of pigmented skin lesions: A review
BACKGROUND AND OBJECTIVES Because skin cancer affects millions of people worldwide, computational methods for the segmentation of pigmented skin lesions in images have been developed in order to assist dermatologists in their diagnosis. This paper aims to present a review of the current methods, and outline a comparative analysis with regards to several of the fundamental steps of image process...
متن کاملNon-melanoma skin cancer diagnosis with a convolutional neural network
Background: The most common types of non-melanoma skin cancer are basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). AKIEC -Actinic keratoses (Solar keratoses) and intraepithelial carcinoma (Bowen’s disease)- are common non-invasive precursors of SCC, which may progress to invasive SCC, if left untreated. Due to the importance of early detection in cancer treatment, this study aimed...
متن کاملEvaluation of the efficacy of the Q switched ruby laser in the treatment of benign pigmented skin lesions
Background and aim: It is possible to use light sources suxh as lasers to destruct melanosomes and treat pigmented skin lesions. One of the most commonly used laser systems is Q switched ruby laser with a wave-length of 694 nm. This study was performed to evaluate the efficacy of the Q switched ruby laser in the treatment of pigmented skin lesions including lentigines (simplex or solar) and caf...
متن کاملPattern Recognition in Macroscopic and Dermoscopic Images for Skin Lesion Diagnosis
Pattern recognition in macroscopic and dermoscopic images is a challenging task in skin lesion diagnosis. The search for better performing classification has been a relevant issue for pattern recognition in images. Hence, this work was particularly focused on skin lesion pattern recognition, especially in macroscopic and dermoscopic images. For the pattern recognition in macroscopic images, a c...
متن کاملAnalysis of skin lesions with pigmented networks
This paper deals with image processing for automatic analysis of pigmented skin lesions. A special emphasis is put on pigmented networks in epiluminescence microscopy (ELM) images. The purpose of processing images with pigmented skin lesions is the visualisation for education and training as well as for diagnosis support. We use a colour based segmentation applied to the Karhunen-Lo eve transfo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Expert Syst. Appl.
دوره 61 شماره
صفحات -
تاریخ انتشار 2016