Machine Learning in Medical Imaging : 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Proceedings / edited by Guorong Wu, Daoqiang Zhang, Luping Zhou.

Format:

Book

Contributor:

Wu, Guorong (Researcher in medical imaging), editor.

Zhang, Daoqiang, editor.

Zhou, Luping, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 8679.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8679

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Medical informatics.

Data mining.

Artificial intelligence.

Computer graphics.

Image Processing and Computer Vision.

Pattern Recognition.

Health Informatics.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer Graphics.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Health Informatics.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer Graphics.

Physical Description:

1 online resource (XII, 332 pages) : 136 illustrations.

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Contents:

Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development

Graph-Based Label Propagation in Fetal brain MR Images

Deep Learning Based Automatic immune Cell Detection for Immunohistochemistry Images

Stacked Multiscale Feature learning for Domain Independent Medical Image Segmentation

Detection of Mammographic Masses by Content-Based Image Retrieval

Inferring Sources of Dementia Progression with Network Diffusion Model

3D Intervertebral Disc Localization through Representation Learning with Knowledge Transfer

Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification

Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression

Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease

Gleason Grading of Prostate Tumors with Max-Margin Conditional Random Fields

Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images

Geodesic Geometric mean of Regional Covariance Descriptors as an Image-Level Descriptor for nuclear Atypia Grading in Breast Images

A constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation

Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation

Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer

Searching for Structures of Interest in an Ultrasound Video Sequence

Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer's Disease

Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection

Sparse Discriminative Feature Selection for Multi-Class Alzheimer's Disease Classification

Context-aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images

Optimal MAP Parameters Estimation in STAPLE-Learning from Performance Parameters versus Image Similarity Information

Colon Biopsy Classification Using Crypt Architecture

Network Guided Group Feature Selection for Classification of Autism Spectrum Disorder

Deformation Field Correction for Spatial Normalization of PET Images Using a Population-derived Partial Least Squares Model

Novel Multi-Atlas Segmentation by Matrix Completion

Structured Random Forest for Myocardium Delineation in 3D Echocardiography

Improved Reproducibility of Neuroanatomical Definition through Diffeomorphometry and Complexity Reduction

Topological Descriptors of Histology Images

Robust Deep Learning for Improved Classification of AD/MCI Patients

Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation

Online Discriminative Multi-Atlas Learning with Application to Isointense Infant Brain Segmentation. .

Other Format:

Printed edition:

ISBN:

978-3-319-10581-9

9783319105819

Access Restriction:

Restricted for use by site license.