Deep Learning for Biomedical Applications

Written By Utku Kose
Deep Learning for Biomedical Applications
  • Publsiher : CRC Press
  • Release : 20 July 2021
  • ISBN : 1000406423
  • Pages : 364 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Deep Learning for Biomedical Applications written by Utku Kose which was release on 20 July 2021, this book published by CRC Press. Available in PDF, EPUB and Kindle Format. Book excerpt: This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.

Deep Learning for Biomedical Applications

Deep Learning for Biomedical Applications
  • Author : Utku Kose,Omer Deperlioglu,D. Jude Hemanth
  • Publisher : CRC Press
  • Release Date : 2021-07-20
  • Total pages : 364
  • ISBN : 1000406423
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Summary : This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and ...

Deep Learning for Data Analytics

Deep Learning for Data Analytics
  • Author : Himansu Das,Chittaranjan Pradhan,Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2020-07-02
  • Total pages : 218
  • ISBN : 1000406423
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Summary : Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design ...

Machine Learning for Biomedical Applications From Crowdsourcing to Deep Learning

Machine Learning for Biomedical Applications  From Crowdsourcing to Deep Learning
  • Author : Shadi Albarqouni
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 212
  • ISBN : 1000406423
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Summary : Download or read online Machine Learning for Biomedical Applications From Crowdsourcing to Deep Learning written by Shadi Albarqouni, published by which was released on 2017. Get Machine Learning for Biomedical Applications From Crowdsourcing to Deep Learning Books now! Available in PDF, ePub and Kindle....

Machine Learning for Biomedical Applications

Machine Learning for Biomedical Applications
  • Author : Maria Deprez,Emma C. Robinson
  • Publisher : Academic Press
  • Release Date : 2022-06-15
  • Total pages : 325
  • ISBN : 1000406423
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Summary : Machine Learning for Biomedical Applications presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning, where concepts are presented in short descriptions followed by solving simple examples using biomedical data. Interactive Python notebooks are provided with ...

Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering
  • Author : Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
  • Publisher : Academic Press
  • Release Date : 2020-11-23
  • Total pages : 320
  • ISBN : 1000406423
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Summary : Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical ...

Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering
  • Author : Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G. S. Mahalakshmi
  • Publisher : Apple Academic Press
  • Release Date : 2020-12-15
  • Total pages : 622
  • ISBN : 1000406423
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Summary : "Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in ...

Biomedical Applications Based on Natural and Artificial Computing

Biomedical Applications Based on Natural and Artificial Computing
  • Author : José Manuel Ferrández Vicente,José Ramón Álvarez-Sánchez,Félix de la Paz López,Javier Toledo Moreo,Hojjat Adeli
  • Publisher : Springer
  • Release Date : 2017-06-10
  • Total pages : 562
  • ISBN : 1000406423
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Summary : The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized ...

From Bioinspired Systems and Biomedical Applications to Machine Learning

From Bioinspired Systems and Biomedical Applications to Machine Learning
  • Author : José Manuel Ferrández Vicente,José Ramón Álvarez-Sánchez,Félix de la Paz López,Javier Toledo Moreo,Hojjat Adeli
  • Publisher : Springer
  • Release Date : 2019-05-09
  • Total pages : 476
  • ISBN : 1000406423
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Summary : The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are ...

Development and Evaluation of Machine Learning Algorithms for Biomedical Applications

Development and Evaluation of Machine Learning Algorithms for Biomedical Applications
  • Author : Turki Talal Turki
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 197
  • ISBN : 1000406423
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Summary : Gene network inference and drug response prediction are two important problems in computational biomedicine. The former helps scientists better understand the functional elements and regulatory circuits of cells. The latter helps a physician gain full understanding of the effective treatment on patients. Both problems have been widely studied, though current ...

Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques

Biomedical Image Analysis and Machine Learning Technologies  Applications and Techniques
  • Author : Gonzalez, Fabio A.,Romero, Eduardo
  • Publisher : IGI Global
  • Release Date : 2009-12-31
  • Total pages : 390
  • ISBN : 1000406423
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Summary : Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and ...

Data Mining and Machine Learning for Biomedical Applications

Data Mining and Machine Learning for Biomedical Applications
  • Author : Erin Teeple
  • Publisher : Academic Press
  • Release Date : 2022-03-15
  • Total pages : 300
  • ISBN : 1000406423
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Summary : Data Mining and Machine Learning for Biomedical Applications is a rigorous practical introduction to the fundamentals of data science. It discusses topics such as data integration and management; statistical methods of data science; methodological approaches used for data mining and knowledge discovery with biomedical domain examples; the core principles and ...

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data
  • Author : Ervin Sejdic,Tiago H. Falk
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • Total pages : 624
  • ISBN : 1000406423
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Summary : Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies ...

Medical Imaging

Medical Imaging
  • Author : K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
  • Publisher : CRC Press
  • Release Date : 2019-08-20
  • Total pages : 238
  • ISBN : 1000406423
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Summary : The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image ...

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Deep Neural Networks for Multimodal Imaging and Biomedical Applications
  • Author : Suresh, Annamalai,Udendhran, R.,Vimal, S.
  • Publisher : IGI Global
  • Release Date : 2020-06-26
  • Total pages : 294
  • ISBN : 1000406423
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Summary : The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a ...

Deep Learning in Biomedical and Health Informatics

Deep Learning in Biomedical and Health Informatics
  • Author : M. A. Jabbar,Ajith Abraham,Onur Dogan,Ana Maria Madureira,Sanju Tiwari
  • Publisher : CRC Press
  • Release Date : 2021-09-27
  • Total pages : 224
  • ISBN : 1000406423
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Summary : This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research ...