Abstract
Aim: It is beneficial to classify brain images as healthy or pathological automatically, because 3D brain images can generate so much information which is time consuming and tedious for manual analysis. Among various 3D brain imaging techniques, magnetic resonance (MR) imaging is the most suitable for brain, and it is now widely applied in hospitals, because it is helpful in the four ways of diagnosis, prognosis, pre-surgical, and postsurgical procedures. There are automatic detection methods; however they suffer from low accuracy.
Method: Therefore, we proposed a novel approach which employed 2D discrete wavelet transform (DWT), and calculated the entropies of the subbands as features. Then, a bat algorithm optimized extreme learning machine (BA-ELM) was trained to identify pathological brains from healthy controls. A 10x10-fold cross validation was performed to evaluate the out-of-sample performance.
Result: The method achieved a sensitivity of 99.04%, a specificity of 93.89%, and an overall accuracy of 98.33% over 132 MR brain images.
Conclusion: The experimental results suggest that the proposed approach is accurate and robust in pathological brain detection.
Keywords: Bat algorithm, classification, extreme learning machine, pattern recognition, wavelet entropy.
CNS & Neurological Disorders - Drug Targets
Title:A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm
Volume: 16 Issue: 1
Author(s): Siyuan Lu, Xin Qiu, Jianping Shi, Na Li, Zhi-Hai Lu, Peng Chen, Meng-Meng Yang, Fang-Yuan Liu, Wen-Juan Jia and Yudong Zhang
Affiliation:
Keywords: Bat algorithm, classification, extreme learning machine, pattern recognition, wavelet entropy.
Abstract: Aim: It is beneficial to classify brain images as healthy or pathological automatically, because 3D brain images can generate so much information which is time consuming and tedious for manual analysis. Among various 3D brain imaging techniques, magnetic resonance (MR) imaging is the most suitable for brain, and it is now widely applied in hospitals, because it is helpful in the four ways of diagnosis, prognosis, pre-surgical, and postsurgical procedures. There are automatic detection methods; however they suffer from low accuracy.
Method: Therefore, we proposed a novel approach which employed 2D discrete wavelet transform (DWT), and calculated the entropies of the subbands as features. Then, a bat algorithm optimized extreme learning machine (BA-ELM) was trained to identify pathological brains from healthy controls. A 10x10-fold cross validation was performed to evaluate the out-of-sample performance.
Result: The method achieved a sensitivity of 99.04%, a specificity of 93.89%, and an overall accuracy of 98.33% over 132 MR brain images.
Conclusion: The experimental results suggest that the proposed approach is accurate and robust in pathological brain detection.
Export Options
About this article
Cite this article as:
Lu Siyuan, Qiu Xin, Shi Jianping, Li Na, Lu Zhi-Hai, Chen Peng, Yang Meng-Meng, Liu Fang-Yuan, Jia Wen-Juan and Zhang Yudong, A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm, CNS & Neurological Disorders - Drug Targets 2017; 16 (1) . https://dx.doi.org/10.2174/1871527315666161019153259
DOI https://dx.doi.org/10.2174/1871527315666161019153259 |
Print ISSN 1871-5273 |
Publisher Name Bentham Science Publisher |
Online ISSN 1996-3181 |
Call for Papers in Thematic Issues
Diagnosis and treatment of central nervous system infectious diseases
Infectious diseases of the central nervous system (CNS) can be divided into bacterial, tuberculous, viral, fungal, parasitic infections, etc. Early etiological treatment is often the most crucial means to reduce the mortality rate of patients with central nervous system infections, reduce complications and sequelae, and improve prognosis. The initial clinical ...read more
Techniques of Drug Repurposing: Delivering a new life to Herbs & Drugs
Of late, with the adaptation of innovative approaches and integration of advancements made towards medical sciences as well as the availability of a wide range of tools; several therapeutic challenges are being translated into viable clinical solutions, with a high degree of efficacy, safety, and selectivity. With a better understanding ...read more
Trends and perspectives in the rational management of CNS disorders
Central nervous system (CNS) diseases enforce a significant global health burden, driving ongoing efforts to improve our understanding and effectiveness of therapy. This issue investigates current advances in the discipline, focusing on the understanding as well as therapeutic handling of various CNS diseases. The issue covers a variety of diseases, ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
New Generation of Oncolytic Herpes Virus
Current Cancer Therapy Reviews Biologic Therapies in Primary Sjögren's Syndrome
Current Pharmaceutical Biotechnology Current Drug Nano-targeting Strategies for Improvement in the Diagnosis and Treatment of Prevalent Pathologies such as Cardiovascular and Renal Diseases
Current Drug Targets Interleukin-6 Trans-Signaling and Colonic Cancer Associated with Inflammatory Bowel Disease
Current Pharmaceutical Design The Role of Melatonin in Multiple Sclerosis, Huntington's Disease and Cerebral Ischemia
CNS & Neurological Disorders - Drug Targets Emerging Roles for Modulation of microRNA Signatures in Cancer Chemoprevention
Current Cancer Drug Targets The Role of the Tyrosine Kinase Inhibitor STI571 in the Treatment of Cancer
Current Cancer Drug Targets Undermining Tumor Angiogenesis by Gene Therapy: An Emerging Field
Current Gene Therapy Pulmonary Drug Delivery System: A Novel Approach for Drug Delivery
Current Drug Therapy The Prostaglandin Agonist Beraprost Aggravates Doxorubicin-mediated Apoptosis by Increasing iNOS Expression in Cardiomyocytes
Current Vascular Pharmacology Electrical Impedance Scanning - A New Diagnostic Tool in Cancer Detection: Current Status and Recent Developments
Current Medical Imaging Therapeutic Use of Vitamin D and its Analogues in Autoimmunity
Recent Patents on Inflammation & Allergy Drug Discovery Searching for Therapeutics Against Botulinum Neurotoxins: A True Challenge for Drug Discovery
Current Topics in Medicinal Chemistry A Review of Surgical Options to Preserve Fertility in the Treatment of Early Cervical Cancer
Current Women`s Health Reviews Fluoride Interactions: From Molecules to Disease
Current Signal Transduction Therapy Glycaemic Control in Cardiac Surgery Patients: a Double-Edged Sword
Current Vascular Pharmacology One Hundred Faces of Cyclopamine
Current Pharmaceutical Design Immune Modulation of Asian Folk Herbal Medicines and Related Chemical Components for Cancer Management
Current Medicinal Chemistry Prospects for Gene Therapy of Osteopetrosis
Current Gene Therapy Pharmacokinetic and Pharmacogenetic Predictive Markers of Irinotecan Activity and Toxicity
Current Drug Metabolism