Image Processing for Automated Diagnosis of Cardiac Diseases. Este artículo no está disponible.
Idioma: inglés
Editorial: Elsevier Science & Technology, 2021
- Tapa blanda
- Nuevo

Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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N° de ref. del artículo B9780323850643
- Título
- Image Processing for Automated Diagnosis of Cardiac Diseases
- Autor
- Kalpana Chauhan
- Editorial
- Elsevier Science & Technology
- Año de publicación
- 2021
- Estado
- New
- Encuadernación
- Paperback / softback
- Idioma
- inglés
- ISBN 10
- 0323850642
- ISBN 13
- 9780323850643
- Peso del artículo
- 222 gramos
Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion using image processing.
This book is suitable for biomedical engineering researchers, engineers and scientists in research and development, and clinicians who want to learn more about and develop advanced concepts in image processing to overcome the challenges of automated diagnosis of heart disease.
- Includes advanced techniques to improve diagnostic methods for various cardiac diseases
- Uses methods to improve the existing diagnostic features of echocardiographic machines
- Develops new diagnostic features for echocardiographic machines
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Rajeev Kumar Chauhan (M’10-SM’15) graduated in Electrical Engineering from The Institutions of Engineers (India).He received his M. Tech degree in Control and Instrumentation Engineering from Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India and PhD from School of Computing and Electrical Engineering at Indian Institute of Technology Mandi, India. Presently he is working as Assistant Professor (Senior Grade) at the Galgotias College of Engineering and Technology Greater Noida, India. Dr. Chauhan received POSOCO Power system Award (PPSA-2017) and Best PhD Thesis Award to recognize and reward innovative technical research excellence in power system. He has also received 2nd prize (Category Energy) in IEEE IAS CMD Humanitarian project contest 2017 for his project DC Micro-grid for Residential Buildings. He also received Bhaskara Advanced Solar Energy (BASE-2014) Award, for his research proposal in the area of DC microgrid from Department of Science and Technology, Indo-US Science and Technology Forum.
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