| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA990009250890403321 |
|
|
Titolo |
Embedded Computer Systems: Architectures, Modeling, and Simulation [Risorsa elettronica] : 6th International Workshop, SAMOS 2006, Samos, Greece, July 17-20, 2006. Proceedings / edited by Stamatis Vassiliadis, Stephan Wong, Timo D. Hämäläinen |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin ; Heidelberg : Springer, 2006 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science , 0302-9743 ; 4017 |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Risorsa elettronica |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
2. |
Record Nr. |
UNINA9910349403703321 |
|
|
Titolo |
Machine Learning in Medical Imaging : 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Yinghuan Shi, Heung-Il Suk, Mingxia Liu |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2018.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XIII, 409 p. 152 illus.) |
|
|
|
|
|
|
Collana |
|
Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 11046 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Computer vision |
Artificial intelligence |
Medical informatics |
Data mining |
Computer Vision |
Artificial Intelligence |
Health Informatics |
Data Mining and Knowledge Discovery |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging. |
|
|
|
|
|
|
|
| |