1.

Record Nr.

UNINA9910484561203321

Titolo

Fetal, Infant and Ophthalmic Medical Image Analysis [[electronic resource] ] : International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Garvin, Emma Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien Desjardin, Tom Vercauteren

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017

ISBN

3-319-67561-3

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XIII, 252 p. 109 illus.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10554

Disciplina

616.0754

Soggetti

Optical data processing

Artificial intelligence

Health informatics

Data mining

Computers

Mathematical statistics

Image Processing and Computer Vision

Artificial Intelligence

Health Informatics

Data Mining and Knowledge Discovery

Models and Principles

Probability and Statistics in Computer Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Sommario/riassunto

This book constitutes the refereed joint proceedings of the International Workshop on Fetal and Infant Image Analysis, FIFI 2017,



and the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 8 full papers presented at FIFI 2017 and the 20 full papers presented at OMIA 2017 were carefully reviewed and selected. The FIFI papers feature research on advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period. The OMIA papers cover various topics in the field of ophthalmic image analysis.