Cantitate/Preț
Produs

Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers: Lecture Notes in Computer Science, cartea 9601

Editat de Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong Cai, Dimitris Metaxas
en Limba Engleză Paperback – 30 iul 2016
This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.
The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 32762 lei

Preț vechi: 40952 lei
-20% Nou

Puncte Express: 491

Preț estimativ în valută:
6270 6496$ 5233£

Carte tipărită la comandă

Livrare economică 22 martie-05 aprilie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319420158
ISBN-10: 3319420151
Pagini: 171
Ilustrații: XV, 182 p. 70 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Cuprins

Pedicting disease.- Atlas exploitation and avoidance.- Machine learning based analyses.- Advanced methods for image analysis.- Poster sessions.

Caracteristici

Includes supplementary material: sn.pub/extras