Segmentation and ABCD rule extraction for skin tumors classification

06/08/2021
by   Mahammed Messadi, et al.
0

During the last years, computer vision-based diagnosis systems have been widely used in several hospitals and dermatology clinics, aiming at the early detection of malignant melanoma tumor, which is among the most frequent types of skin cancer. In this work, we present an automated diagnosis system based on the ABCD rule used in clinical diagnosis in order to discriminate benign from malignant skin lesions. First, to reduce the influence of small structures, a preprocessing step based on morphological and fast marching schemes is used. In the second step, an unsupervised approach for lesion segmentation is proposed. Iterative thresholding is applied to initialize level set automatically. As the detection of an automated border is an important step for the correctness of subsequent phases in the computerized melanoma recognition systems, we compare its accuracy with growcut and mean shift algorithms, and discuss how these results may influence in the following steps: the feature extraction and the final lesion classification. Relying on visual diagnosis four features: Asymmetry (A), Border (B), Color (C) and Diversity (D) are computed and used to construct a classification module based on artificial neural network for the recognition of malignant melanoma. This framework has been tested on a dermoscopic database [16] of 320 images. The classification results show an increasing true detection rate and a decreasing false positive rate.

READ FULL TEXT

page 3

page 4

page 5

page 6

page 7

page 8

page 9

research
01/16/2023

Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis

Automatic lesion analysis is critical in skin cancer diagnosis and ensur...
research
04/03/2022

Gastrointestinal Polyps and Tumors Detection Based on Multi-scale Feature-fusion with WCE Sequences

Wireless Capsule Endoscopy(WCE) has been widely used for the screening o...
research
12/26/2013

Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

Dermoscopy is one of the major imaging modalities used in the diagnosis ...
research
01/06/2015

Skincure: An Innovative Smart Phone-Based Application To Assist In Melanoma Early Detection And Prevention

Melanoma spreads through metastasis, and therefore it has been proven to...
research
09/27/2017

Skin Lesion Segmentation: U-Nets versus Clustering

Many automatic skin lesion diagnosis systems use segmentation as a prepr...
research
02/18/2021

Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

Our goal is to bridge human and machine intelligence in melanoma detecti...
research
09/06/2010

Approximate Lesion Localization in Dermoscopy Images

Background: Dermoscopy is one of the major imaging modalities used in th...

Please sign up or login with your details

Forgot password? Click here to reset