PICSL Multi-Atlas Segmentation Tool

This package contains a software implementation for joint label fusion and corrective learning, which were applied in MICCAI 2012 Grand Challenge on Multi-Atlas Labeling and finished in the first place.

Joint label fusion is for combining candidate segmentations produced by registering and warping multiple atlases for a target image. Corrective learning can be applied to further reduce systematic errors produced by joint label fusion. In general, corrective learning can be applied to correct systematic errors produced by other segmentation methods as well.
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Specifications

Category:Atlas Application, Segmentation
License:GNU General Public License (GPL)
Diagnosis:Multiple Sclerosis
Domain:Domain Independent

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PubMed Mentions documentation

An open source multivariate framework for n-tissue segmentation with evaluation on public data. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

Optimal weights for multi-atlas label fusion. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

Intensity based methods for brain MRI longitudinal registration. A study on multiple sclerosis patients. posted by Nina Preuss on Dec 16, 2017

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help forum

RE: error allocating memory for image posted by Rui Xia on Apr 17, 2017

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install posted by Pierre DEMAN on Apr 15, 2016

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open-discussion forum

RE: Welcome to Open-Discussion posted by Dan Wu on Mar 20, 2015

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Main Folder documentation

Multi-atlassegmentationwithjointlabelfusionandcorrectivelearning—anopensourceimplementation posted by Hongzhi Wang on Mar 10, 2015

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help forum

error allocating memory for image posted by neela ramamoorthi on May 2, 2014

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picsl_malf: picsl_malf_1.3 release

picsl_malf_1.3.tar.gz posted by Hongzhi Wang on Aug 29, 2013

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picsl_malf: picsl_malf_1.2 release

picsl_malf_1.2.tar.gz posted by Hongzhi Wang on Mar 15, 2013