Machine Learning in Medical Imaging
Subtitle: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers
By: edited by Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki
Contributors: Shen, Dinggang; Yan, Pingkun; Suzuki, Kenji; SpringerLink (Online service)
Series: Lecture Notes in Computer Science
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2012
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 276
ISBN-13: 9783642354281
Subjects: Computer Imaging, Vision, Pattern Recognition and Graphics; Pattern perception; Image Processing and Computer Vision; Computer graphics; Database management; Optical pattern recognition; Computer vision; Computer science; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. <br>The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.