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عنوان
Marginal space learning for medical image analysis :

پدید آورنده
Yefeng Zheng, Dorin Comaniciu

موضوع
Diagnostic imaging.,Image analysis.,Artificial Intelligence (incl. Robotics),Computer Imaging, Vision, Pattern Recognition and Graphics.,Computer Science.,Imaging / Radiology.

رده
RC78
.
7
.
D53

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1493906003 (electronic bk.)
(Number (ISBN
9781493906000 (electronic bk.)
Erroneous ISBN
1493905996
Erroneous ISBN
9781493905997

NATIONAL BIBLIOGRAPHY NUMBER

Number
dltt

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Marginal space learning for medical image analysis :
General Material Designation
[Book]
Other Title Information
efficient detection and segmentation of anatomical structures /
First Statement of Responsibility
Yefeng Zheng, Dorin Comaniciu

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource :
Other Physical Details
illustrations (some color)

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index

CONTENTS NOTE

Text of Note
Marginal Space Learning -- Comparison of Marginal Space Learning and Full Space Learning in 2D -- Constrained Marginal Space Learning -- Part-Based Object Detection and Segmentation -- Optimal Mean Shape for Nonrigid Object Detection and Segmentation -- Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation -- Applications of Marginal Space Learning in Medical Imaging -- Conclusions and Future Work
0

SUMMARY OR ABSTRACT

Text of Note
Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art. Trained with a sufficient number of data sets, Marginal Space Learning is also robust under imaging artifacts, noise and anatomical variations. The book showcases 35 clinical applications of Marginal Space Learning and its extensions to detecting and segmenting various anatomical structures, such as the heart, liver, lymph nodes and prostate in major medical imaging modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its efficiency and robustness

OTHER EDITION IN ANOTHER MEDIUM

Title
Marginal Space Learning for Medical Image Analysis
International Standard Book Number
9781493905997

TOPICAL NAME USED AS SUBJECT

Diagnostic imaging.
Image analysis.
Artificial Intelligence (incl. Robotics)
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Science.
Imaging / Radiology.

(SUBJECT CATEGORY (Provisional

HEA-- 039000
MED-- 014000
MED-- 022000
MED-- 045000
MED-- 112000
UYQV

DEWEY DECIMAL CLASSIFICATION

Number
616
.
0757
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
RC78
.
7
.
D53

PERSONAL NAME - PRIMARY RESPONSIBILITY

Zheng, Yefeng,1975-

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Comaniciu, Dorin

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

Ohio Library and Information Network.

ORIGINATING SOURCE

Date of Transaction
20201222074657.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]
270410

Y

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