Prostate cancer classification with MRI using Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network

ABSTRACT

Prostate cancer is a type of cancer that develops in the prostate. The prostate is a little gland in men that resembles a walnut and secretes seminal fluid, which nourishes and transports sperm. A Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network (Taylor-BSO based Deep RNN) is created to determine the severity degree of prostate cancer classificationstart the diagnosis process . The Taylor series is combined with the Bird Swarm Algorithm (BSA) and Squirrel Search Algorithm (SSA), respectively, to create the Taylor-BSO. By filtering the MR image using the Hybrid Local and Non-Local Means (HLNLM) filtering model, the noise that was present in the input image is successfully eliminated. The procedure of cancer classification is designed for determining the existence or absence of a tumour using the features that were collected in the segmentation findings. The threshold number, however, categorizes the tumour severity level as either a high-grade or low-grade tumour. .

KEYWORDS:

• Prostate cancer
• convolutional neural network (CNN)
• Taylor series
• magnetic resonance imaging (MRI)
• deep recurrent neural network (Deep RNN)

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Goddumarri Vijay Kumar

Goddumarri Vijay Kumar received his Bachelor of Technology in Computer Science and Information Technology from Jawaharlal Nehru Technological University, Hyderabad (T.S.) INDIA in 2008; Master of Technology in Computer Science and Engineering from Jawaharlal Nehru Technological University, Ananthapuram (A.P.) INDIA in 2012. He is pursuing his Ph.D. in the area of Machine learning and cognitive computing under Faculty of Computer Science and Technology at Sri Krishnadevaraya University, Anantapur (A.P), INDIA. He is having 14 years of teaching experience. He is working as Assistant Professor, Department of Computer Science and Engineering in Sri Krisnhnadevaraya University College of Engineering and Technology, Anantapuram (A.P) India. His current research interest includes Computer Vision and Machine Learning.

Mohammed Ismail Bellary

Dr. Mohammed Ismail Bellary is currently working as Professor and Head Department of Artificial Intelligence and Machine Learning P.A College of Engineering Mangalore, Affiliated to Visveswaraya Technological University Belgaum Karnataka India. Previously working as Associate Professor & Head, Department of Information Technology, Kannur University, Kerala, India. Received his Bachelor of Engineering in Instrumentation Technology from Visvesvaraya Technological University, India. M.Tech in Computer Science Engineering form JNTUH Hyderabad and Ph.D. from JNTUA Anantapur (A.P) India in the area of Computer Vision and Machine Learning. He has Done his Post DocResearch from Northern Illinois University IL, USA. He is having 17 years of teaching and research experience. His Research Interest are Computer Vision, Bio Inspired Computation, Machine Learning and IOT. He has 45 Research Publications in reputed international journals and has presented 15 papers in International Conferences. To his credit he has one Australian patent Grant and 2 Indian Patents Published. He has completed 3 sponsored research projects and 1 consultancy project in Information Technology. He has won awards from various Academic bodies and NGOs for his research and academic contributions. He is a life member of various academic bodies like CSI, ISTE, IAENG and member of IEEE. He has authored 3 text books in the area of machine learning and Image processing, has delivered various expert lectures in his research areas at various university and colleges.

Thota Bhaskara Reddy

Dr. Thota Bhaskara Reddy is a Professor in the department of Computer Science and Technology at Sri Krishnadevaraya University, Anantapur (A.P.), INDIA. He served in various responsible positions in the University which includes Deputy Director of Distance education and Coordinator of Computer Science and Engineering at S.K. University. He has completed his M.Sc and Ph.D in computer science from S.K. University. He has acquired M.Tech from Nagarjuna University. He has been continuously imparting his knowledge to several students from the last 26 years. He has published 98 National and International publications. He has completed major research project (UGC). Twenty One Ph.D and Three M.Phil have been awarded under his guidance. His research interests are in the field of Neural Networks, Image Processing, computer networks, data mining and data ware house.