AI Innovation in Medical Imaging Diagnostics

AI Innovation in Medical Imaging Diagnostics

Indexed In: SCOPUS
Release Date: January, 2021|Copyright: © 2021 |Pages: 248
DOI: 10.4018/978-1-7998-3092-4
ISBN13: 9781799830924|ISBN10: 1799830926|EISBN13: 9781799830931
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Description & Coverage
Description:

Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients.

AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Assistive Healthcare
  • Cancer Detection
  • K-Means Clustering
  • Machine Learning
  • Medical Screening
  • Mental Health
  • MRI Imaging
  • Parkinson’s Disease
  • Principal Component Analysis
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Editor/Author Biographies

Kalaivani Anbarasan, an Academician and Researcher, received her M.C.A degree from Presidency College, Madras University, 1998. She received her M.Phil Computer Science from Alagappa University and also received M.E Gold Medal Computer Science and Engineering degree from St. Peter’s University. She has completed her prestigious Ph.D degree in Computer Science Engineering from Anna University Chennai, 2017. She has gained her 17+ years of teaching experience from removed universities and Engineering Colleges. She received South Indian “Best Non-Circuit Faculty Award” from ASDF Organization during April 2018. She also received Best Teacher award from Lions Club International during October 2018. She received Best Paper Award in International / National Conferences. She is acting as a Trustees for P.T. Lee Chengalvaraya Naicker Trust by Honourable High Court of Madras for the period of three years (2017-2020). She is appointed as a Governing Council Member and School Committee Member for P.T. Lee Chengalvaraya Naicker Trust for the period of three years (2017-2020). She has attended national workshop, FDP and Training programs and also completed NPTEL online certification course. She has published papers in high reputed journal and presented papers in IEEE and Springer Conference. She acted as a resource person and delivered lecturers to both faculties and students on research focus and upcoming technologies. She served as a technical advisory committee member for reputed international conferences. She is acting as an reviewer and editor for high reputed international journals and international conferences.

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