logo

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

Natural User Interfaces In Medical Image Analysis Cognitive Analysis Of Brain And Carotid Artery Images 1st Edition Marek R Ogiela

  • SKU: BELL-4931376
Natural User Interfaces In Medical Image Analysis Cognitive Analysis Of Brain And Carotid Artery Images 1st Edition Marek R Ogiela
$ 31.00 $ 45.00 (-31%)

5.0

98 reviews

Natural User Interfaces In Medical Image Analysis Cognitive Analysis Of Brain And Carotid Artery Images 1st Edition Marek R Ogiela instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 26.61 MB
Pages: 288
Author: Marek R. Ogiela, Tomasz Hachaj (auth.)
ISBN: 9783319077994, 9783319078007, 3319077996, 3319078003
Language: English
Year: 2015
Edition: 1

Product desciption

Natural User Interfaces In Medical Image Analysis Cognitive Analysis Of Brain And Carotid Artery Images 1st Edition Marek R Ogiela by Marek R. Ogiela, Tomasz Hachaj (auth.) 9783319077994, 9783319078007, 3319077996, 3319078003 instant download after payment.

This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; presents original approaches for the semantic analysis of CT perfusion and CT angiography images of the brain and carotid artery; discusses techniques for creating 3D visualisations of large datasets; reviews natural user interfaces in medical imaging systems, including GDL technology.

Related Products