Machine Learning in Medical Imaging [recurso electrónico] : Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings / edited by Kenji Suzuki, Fei Wang, Dinggang Shen, Pingkun Yan.
Tipo de material:
TextoSeries Lecture Notes in Computer Science ; 7009Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XIII, 371 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642243196Tema(s): Computer science | Computer software | Artificial intelligence | Computer vision | Optical pattern recognition | Computer Science | Image Processing and Computer Vision | Pattern Recognition | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet)Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.6 | 006.37 Clasificación LoC:TA1637-1638TA1637-1638Recursos en línea: Libro electrónico
En: Springer eBooksResumen: This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | TA1637 -1638 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 376773-2001 |
This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.
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