Birajendu Prasad Samal
Mahavir Institute of Engineering and Technology, 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. Birajendu Prasad Samal, is currently working as Principal Mahavir Institute of Engineering and Technology, Bhubaneswar, Odisha, India. Dr. Samal is a renowned Professor in the field of Academic and Research. He has 28 years of teaching experiences. He is expert in Materials Production and Design. He has 25 number of national and international paper publications. He has 4 nos. of patents from India 1 no. of patent from Australian and UK Govt. Apart from that he got many best papers award in different national and international conferences. His area of interest is in composite material production and processing.
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