Patch-Based Techniques in Medical Imaging First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wu, Guorong (Επιμελητής έκδοσης), Coupé, Pierrick (Επιμελητής έκδοσης), Zhan, Yiqiang (Επιμελητής έκδοσης), Munsell, Brent (Επιμελητής έκδοσης), Rueckert, Daniel (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Lecture Notes in Computer Science, 9467
• Θέματα: Computer science.; Algorithms.; Artificial intelligence.; Computer simulation.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Computer Graphics.; Artificial Intelligence (incl. Robotics).; Simulation and Modeling.; Algorithm Analysis and Problem Complexity.

This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Patch-based Techniques in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 25 full papers presented in this volume wer...

Πίνακας περιεχομένων:

• A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation
• Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image
• Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests
• Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis
• Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI
• Dual-Layer l1-Graph Embedding for Semi-Supervised Image Labeling
• Automatic Liver Tumor Segmentation in Follow-up CT Studies Using Convolutional Neural Network
• Block-based Statistics for Robust Non-Parametric Morphometry
• Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-based Edge Detection
• Efficient Lung Cancer Cell Detection with Deep Convolutional Neural Network
• An Effective Approach for Robust Lung Cancer Cell Detection
• Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation
• Hippocampus Segmentation through Distance Field Fusion
• Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compress Sensing
• Fast Regions-of-Interest Detection in Whole Slide Histopathology Images
• Reliability Guided Forward and Backward Patch-based Method for Multi-atlas Segmentation
• Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptor
• Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
• A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images
• 3D MRI Denoising using Rough Set Theory and Kernel Embedding Method
• A Novel Cell Orientation Congruence Descriptor for Superpixel based Epithelium Segmentation in Endometrial Histology Images
• Patch-based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques
• Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph
• Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework
• Efficient Multi-Scale Patch-based Segmentation.