Machine Learning and Deep Learning in Neuroimaging Data Analysis - Couverture rigide

 
9781032190686: Machine Learning and Deep Learning in Neuroimaging Data Analysis

Synopsis

This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations.

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À propos de l?auteur

Anitha S. Pillai is a Professor in the School of Computing Sciences, Hindustan Institute of Technology and Science, India. She obtained a Ph.D. in the field of Natural Language Processing and has three decades of teaching/research experience. She has authored and co-authored several papers in national and international conferences/journals. She is also the Co-founder of AtINeu-Artificial Intelligence in Neurology, focusing on the applications of AI in neurological disorders.

Prof. Bindu Menon is the senior consultant neurologist, Apollo Hospitals, Nellore, Andhra Pradesh, with a teaching experience of 20 years. She has over 90 publications in various international and national journals, and has presented 100 papers and edited 2 books; she has 14 chapters to her credit. She has been conferred with a fellowship from the American Academy of Neurology, World Stroke Organization, Royal College of Physicians (Edinburg), Indian Academy of Neurology, Geriatric Society of India, Indian College of Physicians and Global Association of Physicians of Indian Origin.

She holds various positions and has several international and national awards. She is the founder of Dr. Bindu Menon Foundation and the Co-founder of AtINeu-Artificial Intelligence in Neurology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781032207001: Machine Learning and Deep Learning in Neuroimaging Data Analysis

Edition présentée

ISBN 10 :  1032207000 ISBN 13 :  9781032207001
Editeur : CRC Press, 2025
Couverture souple