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Machine learning for medical image r...

(1998 :)

Machine learning for medical image reconstructionfirst International Workshop, MLMIR 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for medical image reconstructionedited by Florian Knoll, Andreas Maier, Daniel Rueckert.
Reminder of title:	first International Workshop, MLMIR 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
remainder title:	MLMIR 2018
other author:	Knoll, Florian.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	x, 158 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-00129-2
ISBN:	9783030001292$q(electronic bk.)

Machine learning for medical image reconstructionfirst International Workshop, MLMIR 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
Machine learning for medical image reconstructionfirst International Workshop, MLMIR 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /[electronic resource] :MLMIR 2018edited by Florian Knoll, Andreas Maier, Daniel Rueckert. - Cham :Springer International Publishing :2018. - x, 158 p. :ill., digital ;24 cm. - Lecture notes in computer science,110740302-9743 ;. - Lecture notes in computer science ;4891..

Deep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction.

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.

ISBN: 9783030001292$q(electronic bk.)

Standard No.: 10.1007/978-3-030-00129-2doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning for medical image reconstructionfirst International Workshop, MLMIR 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
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490 1 $a Image processing, computer vision, pattern recognition, and graphics
505 0 $a Deep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction.
520 $a This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.
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