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Can I read Big Data in Medical Image Processing on EtoBox?
Big Data in Medical Image Processing by Abdullah, A.; Rajarm, S.; Suganya, R et al. is a nonfiction available to read on EtoBox.
What is Big Data in Medical Image Processing about?
"The field of medical imaging has experienced a state of rapid development over the last two decades. As a consequence, the practice of modern medicine has been completely reconfigured. A large amount of medical images are captured by various acquisition devices. Big Data in Medical Image Processing describes how to capture similar big data medical images and and the analytics used to examine the captured data. This book will help medical analysts in making decisions prior to treatment and assisting in surgery by using various machine learning techniques."--Provided by publisher. Read more... Abstract: "The field of medical imaging has experienced a state of rapid development over the last two decades. As a consequence, the practice of modern medicine has been completely reconfigured. A large amount of medical images are captured by various acquisition devices. Big Data in Medical Image Processing describes how to capture similar big data medical images and and the analytics used to examine the captured data. This book will help medical analysts in making decisions prior to treatment and assisting in surgery by using various machine learning techniques."--Provide
Who reads Big Data in Medical Image Processing?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Abdullah, A.; Rajarm, S.; Suganya, R et al.
- Publisher
- CRC Press, Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an informa business
- Published
- 2018
- Language
- EN
- ISBN
- 9781351366601
- Category
- nonfiction
- Subjects
- Medical, Science, Chemistry
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