Machine Learning in Medical Imaging : 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings / edited by Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi.

Format:

Book

Contributor:

Zhou, Luping, Editor.

Wang, Li, Editor.

Wang, Qian, Editor.

Shi, Yinghuan, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 9352

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 9352

Language:

English

Subjects (All):

Computer vision.

Pattern recognition systems.

Medical informatics.

Data mining.

Artificial intelligence.

Computer Vision.

Automated Pattern Recognition.

Health Informatics.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Local Subjects:

Computer Vision.

Automated Pattern Recognition.

Health Informatics.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Physical Description:

1 online resource (XII, 341 pages) : 128 illustrations

Edition:

1st ed. 2015.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging. .

Other Format:

Printed edition:

ISBN:

978-3-319-24888-2

9783319248882

Access Restriction:

Restricted for use by site license.