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Biomedical signal and image processing with artificial intelligence

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biomedical signal and image processing with artificial intelligenceedited by Chirag Paunwala ... [et al.].
其他作者:	Paunwala, Chirag.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xiii, 419 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Imaging systems in medicine.
電子資源:	https://doi.org/10.1007/978-3-031-15816-2
ISBN:	9783031158162$q(electronic bk.)

Biomedical signal and image processing with artificial intelligence
Biomedical signal and image processing with artificial intelligence[electronic resource] /edited by Chirag Paunwala ... [et al.]. - Cham :Springer International Publishing :2023. - xiii, 419 p. :ill. (chiefly color), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Introduction -- Lung Classification for Covid-19 -- Inspection and Test in Hemodialysis arena -- Applications of Artificial Intelligence in Medical Images Analysis -- Parameter efficient Epileptic seizure detection -- Early lung cancer detection by using an artificial intelligence system -- Decision Making Biomedical Support Systems -- Intelligent Image Segmentation Methods using Deep Convolutional Neural Networks -- Early detection of Dyslexia -- Artificial Intelligence Assisted Cardiac Signal Analysis for Heart Disease Prediction -- An optimal model selection for COVID 19 disease classification -- Histopathology Whole-Slide Image Analysis for Breast Cancer Detection -- Analysis and Classification of Impaired Speech -- Imaging technologies for early detection of breast cancer -- VLSI implementation of sEMG based classification for muscle activity control -- An Object Aware Hybrid U-Net for Breast Tumour Annotation -- Guide to scrutinize the analysis tool for biomedical signals -- Real-time COVID-19 Prediction using Chest X-ray and AI -- Classification of Primary Benign and Primary Malignant Focal Liver Lesions in Spatial and NSCT domain -- Ultrasound Image Analysis using AI -- Conclusion.

This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.

ISBN: 9783031158162$q(electronic bk.)

Standard No.: 10.1007/978-3-031-15816-2doiSubjects--Topical Terms:

214978
Imaging systems in medicine.

LC Class. No.: R857.O6

Dewey Class. No.: 616.0754

Biomedical signal and image processing with artificial intelligence
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505 0 $a Introduction -- Lung Classification for Covid-19 -- Inspection and Test in Hemodialysis arena -- Applications of Artificial Intelligence in Medical Images Analysis -- Parameter efficient Epileptic seizure detection -- Early lung cancer detection by using an artificial intelligence system -- Decision Making Biomedical Support Systems -- Intelligent Image Segmentation Methods using Deep Convolutional Neural Networks -- Early detection of Dyslexia -- Artificial Intelligence Assisted Cardiac Signal Analysis for Heart Disease Prediction -- An optimal model selection for COVID 19 disease classification -- Histopathology Whole-Slide Image Analysis for Breast Cancer Detection -- Analysis and Classification of Impaired Speech -- Imaging technologies for early detection of breast cancer -- VLSI implementation of sEMG based classification for muscle activity control -- An Object Aware Hybrid U-Net for Breast Tumour Annotation -- Guide to scrutinize the analysis tool for biomedical signals -- Real-time COVID-19 Prediction using Chest X-ray and AI -- Classification of Primary Benign and Primary Malignant Focal Liver Lesions in Spatial and NSCT domain -- Ultrasound Image Analysis using AI -- Conclusion.
520 $a This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.
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