Machine Learning in Medical Imaging : 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings (Image Processing, Computer Vision, Pattern Recognition, and Graphics) (2013)

個数:

Machine Learning in Medical Imaging : 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings (Image Processing, Computer Vision, Pattern Recognition, and Graphics) (2013)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 262 p.
  • 言語 ENG
  • 商品コード 9783319022666
  • DDC分類 006.31

Full Description

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.

Contents

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: AComparative 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.

最近チェックした商品