EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Deep Learning And Medical Applications Jin Keun Seo Ed

Name: Deep Learning And Medical Applications Jin Keun Seo Ed
SKU: BELL-50501998
Price: 31.00 USD
Availability: InStock
Rating: 5 (110 reviews)

SKU: BELL-50501998

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

110 reviews

Deep Learning And Medical Applications Jin Keun Seo Ed instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 11.65 MB

Pages: 348

Author: Jin Keun Seo, (ed.)

ISBN: 9789819918386, 9819918383

Language: English

Year: 2023

Product desciption

Deep Learning And Medical Applications Jin Keun Seo Ed by Jin Keun Seo, (ed.) 9789819918386, 9819918383 instant download after payment.

Over the past 40 years, diagnostic medical imaging has undergone remarkable advancements in CT, MRI, and ultrasound technology. Today, the field is experiencing a major paradigm shift, thanks to significant and rapid progress in deep learning techniques. As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses.
AI advancements of medical imaging not only address existing unsolved problems but also present new and complex challenges. Solutions to these challenges can improve image quality and reveal new information currently obscured by noise, artifacts, or other signals. Holistic insight is the key to solving these challenges. Such insight may lead to a creative solution only when it is based on a thorough understanding of existing methods and unmet demands.
This book focuses on advanced topics in medical imaging modalities, including CT and ultrasound, with the aim of providing practical applications in the healthcare industry. It strikes a balance between mathematical theory, numerical practice, and clinical applications, offering comprehensive coverage from basic to advanced levels of mathematical theories, deep learning techniques, and algorithm implementation details. Moreover, it provides in-depth insights into the latest advancements in dental cone-beam CT, fetal ultrasound, and bioimpedance, making it an essential resource for professionals seeking to stay up-to-date with the latest developments in the field of medical imaging.