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Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images by S. N. Kumar, Sherin Zafar, Eduard Babulak, M. Afshar Alam, Farheen Siddiqui

• Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images
• S. N. Kumar, Sherin Zafar, Eduard Babulak, M. Afshar Alam, Farheen Siddiqui
• Page: 282
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781032310466
• Publisher: CRC Press

Download Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images

English textbook pdf free download Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images FB2 ePub 9781032310466

This book explores the role of artificial Intelligence in Telemedicine. It explains the concepts through the detailed study and processing of biosignals, physiological parameters, and medical images. The book focuses on computational algorithms in telemedicine for the processing of biosignals, physiological parameters, and medical Images. The book is presented in two section. The first section presents the role of computational algorithms in the processing of biosignal and medical images for disease diagnosis and treatment planning. Noise removal in ECG signal using an improved adaptive learning approach, classification of ECG signals using CNN for cardiac arrhythmia detection, EEG signal analysis for stroke detection, and EMG signal analysis for gesture classification were discussed in this section. Application of CNN in pertussis Diagnosis by temperature monitoring, physician handwriting recognition using deep learning model, melanoma detection using ABCD parameters, and transfer learning enabled heuristic approach for pneumonia detection was also discussed in this section The second section focus on the role of IoT and artificial intelligence in the healthcare sector. IoT in smart health care and applications of artificial intelligence in disease diagnosis and prediction was discussed in this section. The importance of 5G/6G in the pandemic scenario for telemedicine applications, wireless capsule endoscopy image compression, leukemia detection from the microscopic cell images, and genomic signal processing using numerical mapping techniques was also discussed in this section. This book can be used by a wide range of users including students, research scholars, faculty, and practitioners in the field of engineering for applications in biomedical signal, image analysis, and diagnosis.

Artificial Intelligence In Telemedicine: Processing Of Biosignals And .
Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images. S. N. Kumar Edited by Sherin Zafar , Eduard Babulak.
Open Science Journals | IntechOpen
This journal seeks to capture the diverse methodologies and applications of intelligent systems within the biomedical field.
emerging technologies in medical imaging and real-time signal .
Scope of the Book ( not limited to):. Foundations of Medical Imaging and Signal Processing; Artificial Intelligence in Medical Imaging; Real- .
Deep Learning in Biomedical Signal and Medical Imaging - 天瓏
book for both medical and biomedical applications are . Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images-cover .
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Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images . • (02) 9264 3111 • Winner - Indie Book Awards - 2020 BOOKSTORE OF THE .
Artificial Intelligence in Telemedicine: Processing of Biosignals and .
The book focuses on computational algorithms in telemedicine for the processing of biosignals, physiological parameters, and medical Images. The .

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