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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 /
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...
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Corporate Authors: | , , |
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Other Authors: | , , , , |
Format: | Conference Proceeding eBook |
Language: | English |
Published: |
Cham :
Springer,
2015.
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Series: | Lecture notes in computer science ;
9467. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics. |
Physical Description: |
1 online resource (ix, 216 pages) : color illustrations. |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
Contents:
- 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.