CAHO-DNFN: ME-Net-based segmentation and optimized deep neuro fuzzy network for brain tumour classification with MRI

ABSTRACT

A brain tumour is a deadly syndrome caused due to abnormal and uncontrolled expansion of extra cells that creates several tissues in the brain to affect the nervous system. It rapidly increases the growth of tumour cells and affects the brain by damaging or squeezing healthy tissues. Automatic brain tumour classification was done by conditional aquila horse herd optimization driven deep neuro fuzzy network (CAHO-based DNFN) based on MR image. First, image segmentation is done with a multi-encoder net framework (ME-Net), and features that involve statistical and convolutional neural network (CNN) features are extracted. Then, the ME-Net training is performed using AHO. Utilizing deep neuro fuzzy network (DNFN), which is trained by fusing CAViaR with AO and HOA, tumour classification is carried out utilizing augmented data after the process. The proposed scheme showed outstanding results with the measures, namely testing accuracy, specificity, and sensitivity that acquired the values of 0.915, 0.9 and 0.926, respectively.

KEYWORDS:

• Brain tumour classification
• median filter
• magnetic resonance imaging (MRI)
• deep learning
• data augmentation

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

G. Neelima

Dr G. Neelima, Ph.D in Computer Science & Engineering from GITAM University, Visakhapatnam, Andhra Pradesh, Master of Technology in Computer Science & Engineering in 2011 with distinction from GMRIT, JNTUK, Kakinada and Bachelor of Technology in Computer Science & Engineering in 2003 with first division from JNTU, Hyderabad. She has about 15 years of work experience both in Teaching &software. Currently she's working as Associate Professor in Vignan's Institute of Information Technology, Duvvada, Visakhapatnam. Published papers in various conferences, national & international journals. Dr. Neelima has memberships in professional society ISTE, World Research Council.

Aravapalli Rama Satish

Dr Aravapalli Rama Satish, earned his doctorate from Acharya Nagarjuna University, Guntur, Master of Technology in Computer Science & Engineering from JNTUK, Kakinada. He is currently working as an Associate Professor in the School of Computer Science & Engineering (SCOPE), VIT-AP UNIVERSITY, Near Vijayawada, Andhra Pradesh.He has more than 19 years of teaching experience and published research articles in reputed journals and conferences. He has been guiding UG projects and PG projects. He also guiding 3 research scholars in the domains of Data Warehousing, Text Mining, and Computer Vision. He also authored two text books on “Unix Programming”. He also organized Faculty Development Programs and take an active part in organizing International conferences. He had done certifications from NPTEL and Coursera also a life member of CSI and ISTE. His research interests are Machine Learning, Data Mining, Big Data and security.

Balajee Maram

Dr Balajee Maram, earned his doctorate from Bharathiar University, Coimbatore, Master Degree in Computer Science and Engineering from Anna University, Chennai, Master of Business Administration from Alagappa University, Karaikudi, MA (Master of Communication and Journalism) form Alagappa University, Karaikudi. He is currently working as Professor in the Department of Computer Science and Engineering-AIT, Chandigarh University, Mohali, Punjab.I have more than 17 years of Teaching, 5 years of industry and 6 years of Research experience. I have 92 research publications in reputed journals where 24 papers are indexed by SCIE and 28 papers indexed by SCOPUS. I have guided 14 UG projects and 2 PG projects. I have filed 4 Indian patents and been granted 2 Australian patents. I have organized one National workshop and one National Conference. I have published 5 book chapters indexed by SCOPUS. I have authored for 4 books titled “Data Communication and Networking” and “XML & Web-Services”. I have received "Best Researcher Award 2018” from DK International Research Foundation, “Best Researcher Award 2018” from 117th International Research Awards on Engineering, Science and Management, “Outstanding Researcher” from International Institute of Organized Research (I2OR), India | Australia in Dec, 2018. I have professional memberships of CSI, ISTE, CRSI, IACSIT, UACEE and CSTA. He has completed 165 online certification courses from reputed universities and organizations like Coursera, edx, saylor etc. Apart from research, administration he has implemented OBE based teaching in class-room, flipped learning etc. My research interests are Cryptography, Cloud Computing, Bigdata Analytics and Security in IoT.

Dhanunjaya Rao Chigurukota

Dhanunjayarao Ch, holding M.Tech (CSE) from Bharath University. He is currently pursuing PhD (part-Time) as Research Scholar under the guidance of Dr A.Kumaravel in the department of computer science and engineering, at Bharath University, Chennai-73. He is having 10 years of Teaching, 3.8 months of Industry experience.