Biomedical signal and image processing with artificial intelligence / Chirag Paunwala, Mita Paunwala, Rahul Kher, Falgun Thakkar, Heena Kher, Mohammed Atiquzzaman, Norliza Mohd. Noor, editors.

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Paunwala, Chirag (Editor), Paunwala, Mita (Editor), Kher, Rahul (Editor), Thakkar, Falgun (Editor), Kher, Heena (Editor), Atiquzzaman, Mohammed (Editor), Noor, Norliza Mohd (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2023]
Series:EAI/Springer innovations in communication and computing.
Subjects:
Online Access:Click for online access

MARC

LEADER 00000cam a2200000 i 4500
001 on1358749126
003 OCoLC
005 20240808213014.0
006 m o d
007 cr cnu|||unuuu
008 230122s2023 sz a o 001 0 eng d
040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d GW5XE  |d EBLCP  |d UKAHL  |d OCLCQ  |d OCLCF  |d N$T  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCA  |d OCLCQ 
020 |a 9783031158162  |q (electronic bk.) 
020 |a 3031158164  |q (electronic bk.) 
020 |z 9783031158155 
020 |z 3031158156 
024 7 |a 10.1007/978-3-031-15816-2  |2 doi 
035 |a (OCoLC)1358749126 
050 4 |a R857.O6 
072 7 |a TJF  |2 bicssc 
072 7 |a UYS  |2 bicssc 
072 7 |a TEC008000  |2 bisacsh 
072 7 |a TJF  |2 thema 
072 7 |a UYS  |2 thema 
049 |a HCDD 
245 0 0 |a Biomedical signal and image processing with artificial intelligence /  |c Chirag Paunwala, Mita Paunwala, Rahul Kher, Falgun Thakkar, Heena Kher, Mohammed Atiquzzaman, Norliza Mohd. Noor, editors. 
264 1 |a Cham :  |b Springer,  |c [2023] 
264 4 |c ©2023 
300 |a 1 online resource (xiii, 419 pages) :  |b illustrations (chiefly color). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a EAI/Springer innovations in communication and computing,  |x 2522-8609 
500 |a Includes index. 
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. 
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. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed January 24, 2023). 
650 0 |a Imaging systems in medicine. 
650 0 |a Signal processing. 
650 0 |a Artificial intelligence  |x Medical applications. 
650 7 |a Artificial intelligence  |x Medical applications  |2 fast 
650 7 |a Imaging systems in medicine  |2 fast 
650 7 |a Signal processing  |2 fast 
655 0 |a Electronic books. 
700 1 |a Paunwala, Chirag,  |e editor. 
700 1 |a Paunwala, Mita,  |e editor. 
700 1 |a Kher, Rahul,  |e editor. 
700 1 |a Thakkar, Falgun,  |e editor. 
700 1 |a Kher, Heena,  |e editor. 
700 1 |a Atiquzzaman, Mohammed,  |e editor. 
700 1 |a Noor, Norliza Mohd.,  |e editor. 
776 0 8 |i Print version:  |z 3031158156  |z 9783031158155  |w (OCoLC)1337525074 
830 0 |a EAI/Springer innovations in communication and computing.  |x 2522-8609 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-15816-2  |y Click for online access 
903 |a SPRING-ALL2023 
994 |a 92  |b HCD