國立虎尾科技大學 |

Advanced machine vision paradigms for medical image analysis

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advanced machine vision paradigms for medical image analysis/ edited by Tapan K. Gandhi, Siddhartha Bhattacharyya, Sourav De, Debanjan Konar, Sandip Dey.
其他作者:	Dey, Sandip.
出版者:	London :Academic Press, : 2020.,
面頁冊數:	1 online resource.
附註:	Includes index.
標題:	Diagnostic imaging - Data processing. -
電子資源:	https://www.sciencedirect.com/science/book/9780128192955
ISBN:	9780128192962 (electronic bk.)

Advanced machine vision paradigms for medical image analysis
Advanced machine vision paradigms for medical image analysis[electronic resource] /edited by Tapan K. Gandhi, Siddhartha Bhattacharyya, Sourav De, Debanjan Konar, Sandip Dey. - London :Academic Press,2020. - 1 online resource. - Hybrid Computational Intelligence for Pattern Analysis and Understanding Series. - Hybrid computational intelligence for pattern analysis and understanding series..

Includes index.

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis.

ISBN: 9780128192962 (electronic bk.)Subjects--Topical Terms:

678955
Diagnostic imaging
--Data processing.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.07/54028537

Advanced machine vision paradigms for medical image analysis
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