1.

Record Nr.

UNISA996202530703316

Titolo

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 [[electronic resource] ] : 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II / / edited by Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-10470-5

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (XXX, 824 p. 365 illus.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 8674

Disciplina

617.00785

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 bibliografia

Includes bibliographical references and index.

Nota di contenuto

Biophysical modeling and simulation -- Atlas-based transfer of boundary conditions for biomechanical simulation -- Temporal and motion modeling -- Computer-aided diagnosis -- Pediatric imaging -- Endoscopy -- Ultrasound imaging -- Machine learning -- Cardiovascular imaging -- Intervention planning and guidance -- Brain.

Sommario/riassunto

The three-volume set LNCS 8673, 8674, and 8675 constitutes the



refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 100 papers included in the second volume have been organized in the following topical sections: biophysical modeling and simulation; atlas-based transfer of boundary conditions for biomechanical simulation; temporal and motion modeling; computer-aided diagnosis; pediatric imaging; endoscopy; ultrasound imaging; machine learning; cardiovascular imaging; intervention planning and guidance; and brain.