1.

Record Nr.

UNISA996465409803316

Titolo

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 [[electronic resource] ] : 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III / / edited by Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013

ISBN

3-642-40760-9

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (XXXVIII, 674 p. 291 illus.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 8151

Disciplina

006.6

006.37

Soggetti

Optical data processing

Pattern recognition

Computer graphics

Artificial intelligence

Radiology

Health informatics

Image Processing and Computer Vision

Pattern Recognition

Computer Graphics

Artificial Intelligence

Imaging / Radiology

Health Informatics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

Image reconstruction and motion modeling -- Machine learning in medical image computing -- Imaging, reconstruction, and enhancement -- Segmentation -- Physiological modeling, simulation, and planning -- Intraoperative guidance and robotics -- Microscope, optical imaging, and histology -- Diffusion MRI -- Brain segmentation



and atlases -- Functional MRI and neuroscience applications.

Sommario/riassunto

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 81 papers included in the third volume have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing; imaging, reconstruction, and enhancement; segmentation; physiological modeling, simulation, and planning; intraoperative guidance and robotics; microscope, optical imaging, and histology; diffusion MRI; brain segmentation and atlases; and functional MRI and neuroscience applications.