Bhabani Prasanna Pattanaik

Krupajal Engineering College, India

Title: 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

Dr. Bhabani Prasanna Pattanaik, is presently serving as Professor in Mechanical Engineering as well as Dean Academics at Krupajal Engineering College, Bhubaneswar. Dr. Pattanaik received his Ph.D. in Mechanical Engineering from National Institute of Technology Silchar, Assam in 2018. Prior to his Ph.D., he completed M. Tech (Heat Power Engineering) from Jadavpur University, Kolkata in 2002 and B. E. (Mechanical Engineering) from Utkal University, Bhubaneswar in 2000. He has published 15 research papers in referred International Journals and 22 papers in indexed Conference Proceedings. He is also acting as reviewer to many referred International Journals. He has received grants from DST, AICTE, TEQIP concerning to his research proposals. Moreover, a number of his research papers are presently under review and he is involved in writing many other research papers to be communicated shortly. His key research interests are Development of clean burning green fuels, Engine combustion and emission optimization, Waste to energy conversion, Advanced emission reduction techniques, Nano-additives for fuel applications and Green technology for sustainable development, Advanced manufacturing techniques.

2nd International Conference on Neurology and Brain Disorders

Bhabani Prasanna Pattanaik

Title: Detection of Brain Tumours through the Application of Deep Learning Techniques

Abstract

Biography

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