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Deep Learning Based Neuro Diagnostics of Neonatal Brain Analysis Medical Images
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Author(s): C. Ashwini (SRM Institute of Science and Technology, Ramapuram, India), S.T.V.T. Anantha Krishnama Charyulu (SRM Institute of Science and Technology, Ramapuram, India), N. Avinash Chowdary (SRM Institute of Science and Technology, Ramapuram, India), S.T.V. Sathvik (SRM Institute of Science and Technology, Ramapuram, India), A. Thenmozhi (Dhaanish Ahmed College of Engineering, India), Sureshkumar Somayajula (NTT Data Canada Inc, Canada)and Muhammad Saleem (Kunming University of Science and Technology, Kunming, China)
Copyright: 2026
Pages: 26
Source title:
AI in Health and Human-Centric Systems
Source Author(s)/Editor(s): Ahmed J. Obaid (University of Kufa, Iraq), Muthmainnah (Universitas Al Asyariah Mandar, Indonesia), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)and Michael Baron (Analytics Institute of Australia, Australia)
DOI: 10.4018/979-8-3373-6796-5.ch005
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Abstract
Neurodiagnostic analysis of the neonatal brain is essential for identifying abnormalities, assessing neurological development, and evaluating brain function in utero. This project seeks to create an advanced image processing system to detect and analyze the neonatal brain, leading to more precise diagnoses and improved clinical decisions. Utilizing state-of-the-art diagnostic techniques and imaging modalities, this system will monitor and evaluate neonatal brain development through the integration of Magnetic Resonance Imaging (MRI) and Ultrasound imaging, enhancing visualization. Advanced image processing techniques will ensure high-resolution, detailed imaging, enabling comprehensive analysis of neurological structures. This innovative approach focuses on early detection, diagnosis, and management of neonatal brain abnormalities, aiming to improve diagnostic accuracy and provide critical insights into neurodevelopment. Ultimately, the system will support healthcare professionals in making better-informed decisions, contributing to enhanced prenatal care and improved outcomes.
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