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Elsevier

Image Processing for Automated Diagnosis of Cardiac Diseases

  • 1 Edición - 13 de julio de 2021
  • Última edición
  • Editores: Kalpana Chauhan, Rajeev Kumar Chauhan
  • Idioma: Inglés

Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concept… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

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.

Índice

1. Cardiac diseases and their diagnosis methods

2. Cardiac multimodal image registration using machine learning techniques

3. Anatomical photo representations for cardiac imaging training

4. Cardiac function review by machine learning approaches

5. Despeckling in echocardiographic images using a hybrid fuzzy filter

6. Impetus to machine learning in cardiac disease diagnosis

7. Wavelet transform for cardiac image retrieval

8. AI-based diagnosis techniques for cardiac disease analysis and predictions

9. An improved regularization and fitting-based segmentation method for echocardiographic images

10. Identification of heart failure from cine-MRI images using pattern-based features

11. Medical image fusion methods: Review and application in cardiac diagnosis

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 15 de julio de 2021
  • Idioma: Inglés

Sobre los editores

KC

Kalpana Chauhan

Dr. Kalpana Chauhan (M’13-SM’17) ) graduated in Electrical and Electronics Engineering from The College of Engineering Roorkee, India. She received her M. Tech degree in Control and Instrumentation Engineering from Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India and PhD in Electrical Engineering from the Indian Institute of Technology Mandi, India. Presently She is working as Associate Professor at the Galgotias College of Engineering and Technology Greater Noida. Dr. Chauhan worked as Dean (Research) at SIRDA Group of Institutions Sundernagar, India (2013-2017). She has also worked as Visiting Scientist in the Center for Electromechnics at the University of Texas at Austin, US. Her special field of interest included DC Micro-grid, Building Automation System, Industrial Automation and Control. She is also the associate member of Institution of Engineers (India), IAENG Hong Kong and ICASIT Singapore.
Afiliaciones y experiencia
Assistant Professor, Department of Electrical Engineering, Central University of Haryana, Mahendargarh, India

RC

Rajeev Kumar Chauhan

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.
Afiliaciones y experiencia
Assistant Professor, Department of Electrical Engineering, Dayalbagh Educational Institute, Agra, India

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