Literature DB >> 1913572

Validation of magnetic resonance imaging (MRI) multispectral tissue classification.

M W Vannier1, T K Pilgram, C M Speidel, L R Neumann, D L Rickman, L D Schertz.   

Abstract

The application of NASA multispectral image processing technology for analysis of Magnetic Resonance Imaging (MRI) scans has been studied. Software and hardware capability has been developed, and a statistical evaluation of multispectral analysis application to MRI scans of the head has been performed.

Mesh：

Year:  1991        PMID： 1913572     DOI： 10.1016/0895-6111(91)90079-b

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN： 0895-6111            Impact factor:   4.790


  4 in total

1.  Computer input devices: neutral party or source of significant error in manual lesion segmentation?

Authors:  James Y Chen; F Jacob Seagull; Paul Nagy; Paras Lakhani; Elias R Melhem; Eliot L Siegel; Nabile M Safdar
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

2.  A Supervised ML Applied Classification Model for Brain Tumors MRI.

Authors:  Zhengyu Yu; Qinghu He; Jichang Yang; Min Luo
Journal:  Front Pharmacol       Date:  2022-04-08       Impact factor: 5.988

3.  Brain MRI segmentation with multiphase minimal partitioning: a comparative study.

Authors:  Elsa D Angelini; Ting Song; Brett D Mensh; Andrew F Laine
Journal:  Int J Biomed Imaging       Date:  2007

Review 4.  Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats.

Authors:  Sandy Napel; Wei Mu; Bruna V Jardim-Perassi; Hugo J W L Aerts; Robert J Gillies
Journal:  Cancer       Date:  2018-11-01       Impact factor: 6.860
  4 in total

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