عنوان

Machine learning in medical imaging :

شابک

3319022679 (electronic bk.)

شابک

9783319022673 (electronic bk.)

شابک اشتباه

9783319022666

شماره

b433135

عنوان اصلي

Machine learning in medical imaging :

نام عام مواد

[Book]

ساير اطلاعات عنواني

4th international workshop, MLMI 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings /

نام نخستين پديدآور

Guorong Wu [and 5 others] (eds.)

نام خاص و کميت اثر

1 online resource (xii, 262 pages) :

ساير جزييات

illustrations

عنوان فروست

Lecture notes in computer science,

عنوان فروست

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

مشخصه جلد

8184

شاپا ي ISSN فروست

0302-9743 ;

متن يادداشت

Includes bibliographical references and index

متن يادداشت

Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images -- Integrating Multiple Network Properties for MCI Identification -- Learning-Boosted Label Fusion for Multi-atlas Auto-Segmentation -- Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound -- Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization -- Fully Automatic Detection of the Carotid Artery from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features -- A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity -- A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography -- A Unified Approach to Shape Model Fitting and Non-rigid Registration -- A Bayesian Algorithm for Image-Based Time-to-Event Prediction -- Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations -- fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics -- Patch-Based Segmentation without Registration: Application to Knee MRI -- Flow-Based Correspondence Matching in Stereovision -- Thickness NETwork (ThickNet) Features for the Detection of Prodromal AD -- Metric Space Structures for Computational Anatomy -- Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification -- Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification -- An Improved Optimization Method for the Relevance Voxel Machine -- Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies -- Identification of Alzheimer s Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion -- On Feature Relevance in Image-Based Prediction Models: An Empirical Study -- Decision Forests with Spatio-Temporal Features for Graph-Based Tumor Segmentation in 4D Lung CT -- Improving Probabilistic Image Registration via Reinforcement Learning and Uncertainty Evaluation -- HEp-2 Cell Image Classification: A Comparative Analysis -- A 2.5D Colon Wall Flattening Model for CT-Based Virtual Colonoscopy -- Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation -- Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction -- Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer s Disease -- Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image -- Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images -- Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction

بدون عنوان

0

متن يادداشت

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 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

عنوان

OhioLINK electronic book center (Online)

عنوان

SpringerLink

عنوان اصلي به زبان ديگر

MICCAI 2013

عنوان اصلي به زبان ديگر

MLMI 2013

موضوع مستند نشده

Artificial intelligence-- Medical applications, Congresses

موضوع مستند نشده

Diagnostic imaging-- Data processing, Congresses

موضوع مستند نشده

Machine learning, Congresses

موضوع مستند نشده

COM012000

موضوع مستند نشده

COM016000

موضوع مستند نشده

UYQV

موضوع مستند نشده

UYT

شماره

ويراست

شماره رده

شماره رده

نشانه اثر

نشانه اثر

مستند نام اشخاص تاييد نشده

Wu, Guorong

مستند نام تنالگان تاييد نشده

MLMI (Workshop)(4th :2013 :, Nagoya-shi, Japan)

مستند نام تنالگان تاييد نشده

International Conference on Medical Image Computing and Computer-Assisted Intervention(16th :2013 :, Nagoya-shi, Japan)

مستند نام تنالگان تاييد نشده

Ohio Library and Information Network

تاريخ عمليات

20131202122232.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y