Applications of Parallel Data Processing for Biomedical Imaging | Agenda Bookshop Skip to content
Spring Savings - €5 off with every €30 spent on all books!
Spring Savings - €5 off with every €30 spent on all books!
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Indrajeet Kumar
B01=Pushkar Praveen
B01=Rijwan Khan
Category1=Non-Fiction
Category=MJA
Category=MMP
Category=MQW
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Applications of Parallel Data Processing for Biomedical Imaging

English

Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research. The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research. The topics covered in the book span a diverse range, including heterogeneous computing, biological and molecular computing, AI applications in biomedical imaging, big data processing, and future network architectures for parallel processing. Readers will delve into the frontiers of AI and deep learning in medicine, human biology, and healthcare, exploring machine learning and deep learning-based clinical decision-making systems, biomedical imaging, medical and healthcare education, and more. The book acts as a beacon for those intrigued by the possibilities at the intersection of big data, intelligent IoT, and parallel computing in reshaping the landscape of healthcare, bioinformatics, biomechanics, and biomedical services. See more
Current price €395.24
Original price €424.99
Save 7%
Age Group_Uncategorizedautomatic-updateB01=Indrajeet KumarB01=Pushkar PraveenB01=Rijwan KhanCategory1=Non-FictionCategory=MJACategory=MMPCategory=MQWCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 31 May 2024

Product Details
  • Dimensions: 178 x 254mm
  • Publication Date: 31 May 2024
  • Publisher: IGI Global
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9798369324264

About

Rijwan Khan received his B. Tech Degree in Computer Science & Engineering from BIT M. Tech in Computer Science & Engineering from IETE and Ph.D.in Computer Engineering from Jamia Millia Islamia New Delhi. He has 17 years of Academic & Research Experience in various areas of Computer Science. He is currently working as Professor and Program Chair of Department Computer Science and Engineering B.Tech 2nd Year at Galgotias University G.B. Nagar U.P. He is author of three subject books. He published more than 30 research papers in different journals and conferences. He has been nominated in the board of reviewers of various peer-reviewed and refereed Journals. He is Editor of five research books. He is Editor of seven special issues of SCI and Scopus indexed journals. He was session chaired in three International conferences & Keynote speakers in some the national and International conferences Indrajeet Kumar received his B Tech in Computer Science & Engineering from Sant Longowal Institute of Engineering and Technology Punjab in 2009 and M Tech in Computer Engineering with specialization in Computer Network from YMCA University of Science & technology Faridabad in 2013. He received his PhD on Analysis and Classification of Breast density classification using Mammographic images from GB Pant Institute of Engineering & Technology Ghurdauri Uttarakhand India in 2019. During his PhD he worked on enhancing the potential of most commonly available Breast density classification for differential diagnosis between atypical cases of focal density cases. He served in academia in various reputed organizations like Galgotias Institutions Greater Noida U.P India and graphic era hill University Dehradun India for 6 years. His research interests include application of machine learning Deep Learning and soft computing techniques for analysis of medical images. The only limit to our realization of tomorrow will be our doubts of today by Franklin D. Roosevelt. The only thing standing between me and my goals is my own self-doubt. By believing in myself and taking action toward my dreams I can achieve anything I set my mind to. My passion for technology started early in my academic career and I have spent countless hours honing my skills and knowledge. I have taken online courses attended seminars and worked on personal projects to build a solid foundation. I am a quick learner and a good team player and I enjoy working on challenging projects that push me to learn and grow. I am confident that my drive and enthusiasm coupled with my technical abilities make me a valuable asset to any organization.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept