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Machine learning meets medical imagi...

Bhatia, Kanwal K.

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Machine learning meets medical imaging = first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning meets medical imaging/ edited by Kanwal K. Bhatia, Herve Lombaert.
其他題名:	first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
其他題名:	MLMMI 2015
其他作者:	Bhatia, Kanwal K.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	x, 105 p. :ill., digital ;24 cm.
內容註:	Retrospective motion correction of magnitude-input MR images -- Automatic Brain Localization in Fetal MRI Using Superpixel Graphs -- Learning Deep Temporal Representations for fMRI Brain Decoding -- Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution -- Improving MRI brain image classification with anatomical regional kernels -- A Graph Based Classification Method for Multiple Sclerosis Clinical Form Using Support Vector Machine -- Classification of Alzheimer's Disease using Discriminant Manifolds of Hippocampus Shapes -- Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases.
Contained By:	Springer eBooks
標題:	Machine learning -
電子資源:	http://dx.doi.org/10.1007/978-3-319-27929-9
ISBN:	9783319279299$q(electronic bk.)

Machine learning meets medical imaging = first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
Machine learning meets medical imagingfirst International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /[electronic resource] :MLMMI 2015edited by Kanwal K. Bhatia, Herve Lombaert. - Cham :Springer International Publishing :2015. - x, 105 p. :ill., digital ;24 cm. - Lecture notes in computer science,94870302-9743 ;. - Lecture notes in computer science ;5353..

Retrospective motion correction of magnitude-input MR images -- Automatic Brain Localization in Fetal MRI Using Superpixel Graphs -- Learning Deep Temporal Representations for fMRI Brain Decoding -- Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution -- Improving MRI brain image classification with anatomical regional kernels -- A Graph Based Classification Method for Multiple Sclerosis Clinical Form Using Support Vector Machine -- Classification of Alzheimer's Disease using Discriminant Manifolds of Hippocampus Shapes -- Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases.

ISBN: 9783319279299$q(electronic bk.)

Standard No.: 10.1007/978-3-319-27929-9doiSubjects--Topical Terms:

744343
Machine learning

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning meets medical imaging = first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
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