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Machine learning meets medical imagi...
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Bhatia, Kanwal K.
Machine learning meets medical imaging[electronic resource] :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-語言資料,印刷品 : Monograph/item
杜威分類號:
006.31
書名/作者:
Machine learning meets medical imaging : first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers // edited by Kanwal K. Bhatia, Herve Lombaert.
其他題名:
MLMMI 2015
其他作者:
Bhatia, Kanwal K.
團體作者:
Clark Conference
出版者:
Cham : : Springer International Publishing :, 2015.
面頁冊數:
x, 105 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Artificial Intelligence (incl. Robotics)
標題:
Computational Biology/Bioinformatics.
標題:
Pattern Recognition.
標題:
Algorithm Analysis and Problem Complexity.
標題:
Computation by Abstract Devices.
標題:
Machine learning
標題:
Artificial intelligence - Congresses. - Medical applications
標題:
Diagnostic imaging - Handbooks, manuals, etc. - Data processing
標題:
Computer Science.
標題:
Image Processing and Computer Vision.
ISBN:
9783319279299
ISBN:
9783319279282
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.
電子資源:
http://dx.doi.org/10.1007/978-3-319-27929-9
Machine learning meets medical imaging[electronic resource] :first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
Machine learning meets medical imaging
first 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 ;7103..
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
Standard No.: 10.1007/978-3-319-27929-9doiSubjects--Topical Terms:
463642
Artificial Intelligence (incl. Robotics)
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning meets medical imaging[electronic resource] :first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
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first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
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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.
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