Machine Learning in Medical Imaging 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings

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Başlık:

Machine Learning in Medical Imaging 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings

Yazar:

Zhou, Luping. editor.

ISBN:

9783319248882

Edition:

1st ed. 2015.

Fiziksel Tanım:

XII, 341 p. 128 illus. online resource.

Series:

Lecture Notes in Computer Science, 9352

Abstract:

This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging. .

Konu Terimleri:

Computer science.

Health informatics.

Data mining.

Artificial intelligence.

Image processing.

Pattern recognition.

Image Processing and Computer Vision.

Data Mining and Knowledge Discovery.

Artificial Intelligence (incl. Robotics).

Added Author:

Added Corporate Author:

SpringerLink (Online service)

Electronic Access:

http://dx.doi.org/10.1007/978-3-319-24888-2

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Library	Materyal Türü	Barkod	Yer Numarası	Durum
Searching... Pamukkale Merkez Kütüphanesi	E-Kitap	81017-1001	TA1637 -1638	Searching... Unknown

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Özet

This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015.

The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging.