Ullash Kumar Rout
Odisha University of Technology and Research (OUTR), 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
Dr. Ullash Kumar Rout, is currently working as Associate professor in the School of Electrical Sciences, Odisha University of Technology and Research, Bhubaneswar. He received his B.E. in Electrical Engineering from IGIT, Utkal University (Hons.), M. Tech. in Power System from IIT Kanpur, and Ph.D. in Energy System from University of Stuttgart, Germany. He has 11 years research experience and 15 years teaching experience. His research interest includes energy system and power system. He has guided & awarded 04 Ph.D. students and 03 are ongoing and many more M.Tech. students. He holds a pivotal role in various Govt. funded projects in multiple countries like Germany, Ireland (EPA-Environmental Protection Agency), Switzerland and Japan.
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