Marginal Space Learning for Medical Image Analysis

Efficient Detection and Segmentation of Anatomical Structures

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Health & Well Being, Medical, Medical Science, Biochemistry, General Computing
Cover of the book Marginal Space Learning for Medical Image Analysis by Dorin Comaniciu, Yefeng Zheng, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Dorin Comaniciu, Yefeng Zheng ISBN: 9781493906000
Publisher: Springer New York Publication: April 16, 2014
Imprint: Springer Language: English
Author: Dorin Comaniciu, Yefeng Zheng
ISBN: 9781493906000
Publisher: Springer New York
Publication: April 16, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Mathematics for Natural Scientists by Dorin Comaniciu, Yefeng Zheng
Cover of the book Neurobiological Studies of Addiction in Chronic Pain States by Dorin Comaniciu, Yefeng Zheng
Cover of the book Off School, In Court by Dorin Comaniciu, Yefeng Zheng
Cover of the book Cultural Heritage Politics in China by Dorin Comaniciu, Yefeng Zheng
Cover of the book An Introduction to Epidemiology for Health Professionals by Dorin Comaniciu, Yefeng Zheng
Cover of the book Handbook of Psychopathology in Intellectual Disability by Dorin Comaniciu, Yefeng Zheng
Cover of the book Cutaneous Manifestations of Infection in the Immunocompromised Host by Dorin Comaniciu, Yefeng Zheng
Cover of the book A Practical Guide to Frozen Section Technique by Dorin Comaniciu, Yefeng Zheng
Cover of the book Bayesian Networks in R by Dorin Comaniciu, Yefeng Zheng
Cover of the book Breast and Gynecological Cancers by Dorin Comaniciu, Yefeng Zheng
Cover of the book Use and Impact of Computers in Clinical Medicine by Dorin Comaniciu, Yefeng Zheng
Cover of the book Atlas of Sectional Radiological Anatomy for PET/CT by Dorin Comaniciu, Yefeng Zheng
Cover of the book Viruses and Atherosclerosis by Dorin Comaniciu, Yefeng Zheng
Cover of the book Dialysis in Older Adults by Dorin Comaniciu, Yefeng Zheng
Cover of the book Career Development in Bioengineering and Biotechnology by Dorin Comaniciu, Yefeng Zheng
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy