Rajesh Kumar Behera
Krupajal Engineering College, IndiaTitle: Detection of Brain Tumours through the Application of Deep Learning Techniques
Abstract
The fast detection of brain-tumour plays a crucial role in advancing therapeutic outcomes. Physically assessing numerous MRI scans regularly distributed at medical centers poses a challenge. There is a notable demand for PC-assisted strategies with improved accuracy for early detection of cancer. Currently, there is a growing interest in employing deep-learning techniques for the highly accurate and rapid detection of cerebral tumors and heart rate. This research paper focuses on three primary advantages: growth location, division, and tumour detection. To be clinically beneficial, brain tumor diagnostic approaches need integration into a fully automated system, as discussed in this study. The research explores the effect of process parameters and different tool materials for fast detection of brain-tumour contributes an important role in further developing therapeutic outcomes and hence functioning in endurance tolerance. Deep Learning (DL) uses a Multilayer neural network (MNN) with multiple hidden layers and independent parameters to conduct research. In contrast to commonly used MNNs, each input MRI undergoes convolutional layers, filters, fully connected (FC) layers, pooling layers, and finally, Soft-max for the conclusive decision-making process. Although both deep learning and traditional machine learning fall under AI technologies, deep learning offers more advantages, achieving a commendable score of 96.8%.
Biography
Prof. (Dr.) Rajesh Kumar Behera, an academician and researcher with over 20 years of teaching experiences in different colleges under Biju Patnaik University of Technology, Odisha, India, is promoting scholars and research. He is involved in various student design projects and has co-authored many national seminars, workshops and conferences in various fields of engineering and technology. He has received his Master's degree from IIEST (formerly BESU, Howrah) and Ph. D from Biju Patnaik University of Technology, Odisha, India. He has received three best paper presentation awards in different national & international conferences. Also, he received Best Institutions Award from Institutions of Engineers (India) for his pioneering research work in the year in 2021 and Best research scholar award from the university during his Ph.D. He has published more than 25 research articles in international peer reviewed journals and holds 10 Indian and foreign patents. Previously, he was worked as Professor and Dean (R&D) in the Department of Mechanical Engineering at the Aryan Institute of Engineering and Technology, Arya Vihar, Bhubaneswar and presently working as Professor and head in the Department of Mechanical Engineering at Krupajal Engineering College, Bhubaneswar, Odisha, INDIA.
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