基于不同分类器的非下采样弯曲变换检测黑色素瘤的若干研究

Q4 Biochemistry, Genetics and Molecular Biology Molecular & Cellular Biomechanics Pub Date : 2021-01-01 DOI:10.32604/mcb.2021.017984
S. Poovizhi, T. R. Ganesh Babu, R. Praveena
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引用次数: 1

摘要

皮肤是保护人体免受病原体侵害的外皮系统的最大器官和外壳。在世界上各种癌症中,皮肤癌是最常见的癌症之一,它可以是黑色素瘤也可以是非黑色素瘤。与非黑色素瘤癌症相比,黑色素瘤癌症是非常致命的,但如果及早诊断和治疗,存活率很高。本工作的主要目的是分析和研究非下采样弯曲变换(NSBT)在各种分类器上检测皮肤镜图像中的黑色素瘤的性能。NSBT是一种基于二阶shearlet系统的多尺度多向变换,它比其他方向表示系统更精确地对曲率进行分类。本文采用k-最近邻(kNN)、朴素贝叶斯(NB)、决策树(DT)和支持向量机(SVM)进行两阶段分类。第一阶段分类用于将PH2数据库的图像分为正常和异常图像,第二阶段分类将异常图像分为良性和恶性。实验结果表明,与现有的分类方法相比,该方法在分类精度、灵敏度和特异性方面均有提高。
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Certain Investigations on Melanoma Detection Using Non-Subsampled Bendlet Transform with Different Classifiers
Skin is the largest organ and outer enclosure of the integumentary system that protects the human body from pathogens. Among various cancers in the world, skin cancer is one of the most commonly diagnosed cancer which can be either melanoma or non-melanoma. Melanoma cancers are very fatal compared with non-melanoma cancers but the chances of survival rate are high when diagnosed and treated earlier. The main aim of this work is to analyze and investigate the performance of Non-Subsampled Bendlet Transform (NSBT) on various classifiers for detecting melanoma from dermoscopic images. NSBT is a multiscale and multidirectional transform based on second order shearlet system which precisely classifies the curvature over other directional representation systems. Here two-phase classification is employed using k-Nearest Neighbour (kNN), Naive Bayes (NB), Decision Trees (DT) and Support Vector Machines (SVM). The first phase classification is used to classify the images of PH2 database into normal and abnormal images and the second phase classification classifies the abnormal images into benign and malignant. Experimental result shows the improvement in classification accuracy, sensitivity and specificity compared with the state of art methods.
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来源期刊
Molecular & Cellular Biomechanics
Molecular & Cellular Biomechanics CELL BIOLOGYENGINEERING, BIOMEDICAL&-ENGINEERING, BIOMEDICAL
CiteScore
1.70
自引率
0.00%
发文量
21
期刊介绍: The field of biomechanics concerns with motion, deformation, and forces in biological systems. With the explosive progress in molecular biology, genomic engineering, bioimaging, and nanotechnology, there will be an ever-increasing generation of knowledge and information concerning the mechanobiology of genes, proteins, cells, tissues, and organs. Such information will bring new diagnostic tools, new therapeutic approaches, and new knowledge on ourselves and our interactions with our environment. It becomes apparent that biomechanics focusing on molecules, cells as well as tissues and organs is an important aspect of modern biomedical sciences. The aims of this journal are to facilitate the studies of the mechanics of biomolecules (including proteins, genes, cytoskeletons, etc.), cells (and their interactions with extracellular matrix), tissues and organs, the development of relevant advanced mathematical methods, and the discovery of biological secrets. As science concerns only with relative truth, we seek ideas that are state-of-the-art, which may be controversial, but stimulate and promote new ideas, new techniques, and new applications.
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