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Patch-based field-of-view matching in multi-modal images for electroporation-based ablations
Various multi-modal imaging sensors are currently involved at different ...
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Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images
Most of existing superpixel methods are designed to segment standard pla...
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Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Over-segmentation into superpixels is a very effective dimensionality re...
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Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching
Superpixels are widely used in computer vision applications. Nevertheles...
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AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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Robust superpixels using color and contour features along linear path
Superpixel decomposition methods are widely used in computer vision and ...
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SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches
Superpixels have become very popular in many computer vision application...
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An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion
Automatic segmentation methods are important tools for quantitative anal...
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Evaluation Framework of Superpixel Methods with a Global Regularity Measure
In the superpixel literature, the comparison of state-of-the-art methods...
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SCALP: Superpixels with Contour Adherence using Linear Path
Superpixel decomposition methods are generally used as a pre-processing ...
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Robust Shape Regularity Criteria for Superpixel Evaluation
Regular decompositions are necessary for most superpixel-based object re...
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Superpixel-based Color Transfer
In this work, we propose a fast superpixel-based color transfer method (...
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Texture-Aware Superpixel Segmentation
Most superpixel methods are based on spatial and color measures at the p...
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