This reference text covers deep learning methods for detection of various diseases and analysis of medical images for better understanding. It will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
"Sinopsis" puede pertenecer a otra edición de este libro.
Archana Mire is presently working as Head, Department of computer engineering, Terna Engineering College, Navi Mumbai, India. She has more than 14 years of research and teaching experience. She has published research papers in various SCI/Scopus indexed national/international conferences and journals. She has worked on various national/International conference technical committees and reviewed papers for various conferences and journals. She has served as a session chair for various international conferences organized within and outside India. Her main research area is machine learning and image processing.
Vinayak Elangovan is currently working as an assistant professor of Computer Science at Penn State University in Abington, USA. He earned his Ph.D. in Computer Information Systems Engineering at Tennessee State University, the USA in 2014, and continued his research and teaching there as a Postdoctoral fellow. He worked at The College of New Jersey (TCNJ) and St. Olaf College teaching various computer science courses for undergraduate students during 2015-2017. His research interest includes computer vision, machine vision, multi-sensor data fusion, and activity sequence analysis with a keen interest in software applications development and database management. He has worked on a number of funded projects related to the Department of Defense and the Department of Homeland Security applications. He also has considerable work experience in the engineering and software industries.
Shailaja Patil is currently working as a professor, department of electronics and telecommunication, and Dean (Research and Development), Rajarshi Shahu College of Engineering, Pune, India. She has 25 years of teaching and 3 years of research experience. She has more than 60 publications in peer-reviewed journals. She has delivered expert lectures on WSN, SDN, and Intellectual property Rights at various workshops. She is a Fellow of the Institution of Engineers and members of various professional bodies- IEEE, ISTE, GISFI, ISA, ACM, etc.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 48136596
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 48136596-n
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781032137193
Cantidad disponible: Más de 20 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Nº de ref. del artículo: 398692276
Cantidad disponible: 3 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781032137193
Cantidad disponible: Más de 20 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases.The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimers disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering. This reference text covers deep learning methods for detection of various diseases and analysis of medical images for better understanding. It will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032137193
Cantidad disponible: 1 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 48136596
Cantidad disponible: Más de 20 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. First edition Includes index. Nº de ref. del artículo: 26397684843
Cantidad disponible: 3 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 260. Nº de ref. del artículo: B9781032137193
Cantidad disponible: 1 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. Nº de ref. del artículo: 18397684833
Cantidad disponible: 3 disponibles