Search. Read. Cite.

Easy to search. Easy to read. Easy to cite with credible sources.

Research Article
Automatic Tissue Segmentation in Medical Images using Differential Evolution

K. Karteeka Pavan, V. Sesha Srinivas, A. SriKrishna and B. Eswara Reddy

Journal of Applied Sciences, 2012, 12(6), 587-592.

Abstract

Segmentation of medical images is a challenging task and preprocessing step in medical diagnosis. Evolutionary algorithms such as Genetic Algorithms (GA) have been found to be effective in medical image segmentation. Almost all GAs are semiautomatic, requires either some parameters or domain knowledge such as number of segments, shape, texture etc. Differential Evolution (DE) is a simple and robust evolutionary algorithm and Automatic Clustering using Differential Evolution (ACDE) is a variant of DE. There is no study in medical image segmentation using ACDE. This study is made an attempt to extract the shape of the tissues in medical images automatically using ACDE. The performance of the ACDE algorithm in determining shape of breast cancer, lung tissues has been studied using different ultrasound images. The experimental results are compared with the regions identified by the radiologist and have demonstrated that the ACDE can extract shape of the tissues automatically (without domain knowledge) and helpful in operation surgery and radiology to cure diseases like breast cancer.

ASCI-ID: 35-4446

Cited References Fulltext

Related Articles


Multi-Objective Differential Evolution Algorithm for Solving Engineering Problems

Journal of Applied Sciences, 2009, 9(20), 3652-3661.

Optimum Crop Planning using Multi-Objective Differential Evolution Algorithm

Journal of Applied Sciences, 2009, 9(21), 3780-3791.

Genetic Algorithms in Optimization and Computer Aided Design

Journal of Applied Sciences, 2001, 1(3), 289-294.

A Genetic Algorithm to Solve the Maximum Partition Problem

Journal of Applied Sciences, 2002, 2(1), 71-73.

A Hybrid Method of Neural Networks and Genetic Algorithm in Econometric Modeling and Analysis

Journal of Applied Sciences, 2008, 8(16), 2825-2833.

A Genetic Approach to the Synthesis of Combinational Circuits with Optimum Area and Speed

Journal of Applied Sciences, 2008, 8(24), 4570-4578.

Design and Implementation of a Controller for Magnetic Levitation System Using Genetic Algorithms

Journal of Applied Sciences, 2008, 8(24), 4644-4649.

Improved Evolving Kernel of Fisher’s Discriminant Analysis for Classification Problem

Journal of Applied Sciences, 2009, 9(12), 2313-2318.

An Estimation of Irrigation Efficiency of Limited Water Resource Area

Journal of Applied Sciences, 2007, 7(19), 2744-2749.

Oil Production Optimization in a Cluster of Gas Lift Wells System

Journal of Applied Sciences, 2010, 10(16), 1705-1713.

Application of Genetic Algorithms and Rules in the Scheduling of Flexible Job Shops

Journal of Applied Sciences, 2006, 6(7), 1586-1590.

Correlation of Engine Cooling System Parameters and Segmented Heat Exchangers’ Analysis

Journal of Applied Sciences, 2013, 13(11), 2027-2032.

Investigation of Energy Performance and Usage Behavior of Domestic Refrigerator Freezer Using Clustering and Segmentation

Journal of Applied Sciences, 2008, 8(21), 3957-3962.

Cited By


Assessing Changes in Diabetic Retinopathy Caused by Diabetes Mellitus and Glaucoma Using Support Vector Machines in Combination with Differential Evolution Algorithm

Applied Sciences, 2021, 11(9), 3944. DOI: 10.3390/app11093944

Fusion of Color Bands Using Genetic Algorithm to Segment Melanoma

2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020, (), 1. DOI: 10.1109/ISBIWorkshops50223.2020.9153438

Pneumonia Prediction Using Swarm Intelligence Algorithms

Advanced Technologies and Societal Change, 2022, (), 103. DOI: 10.1007/978-981-16-6265-2_7