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Nephroblastoma analysis in MRI images

  • Djibril Kaba
    ,
  • Nigel McFarlane
    ,
  • Feng Dong
    ,
  • Norbert Graf
    ,
  • Xujiong Ye
  • Saarland University
    ,
  • University of Lincoln
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

The annotation of the tumour from medical scans is a crucial step in nephroblastoma treatment. Therefore, an accurate and reliable segmentation method is needed to facilitate the evaluation and the treatments of the tumour. The proposed method serves this purpose by performing the segmentation of nephroblastoma in MRI scans. The segmentation is performed by adapting and a 2D free hand drawing tool to select a region of interest in the scan slices. Results from 24 patients show a mean root-mean-square error of 0.0481 ± 0.0309, an average Dice coefficient of 0.9060 ± 0.0549 and an average accuracy of 99.59% ± 0.0039. Thus the proposed method demonstrated an effective agreement with manual annotations.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 173-183

Journal (Volume, Issue Number)

Image Analysis and Stereology (Volume 38, Issue 2)

Publication milestones

  • Accepted/In press - 11/06/2019
  • Published - 31/12/2019

Publication status

Published - 31/12/2019

ISSN

1580-3139

External Publication IDs

  • handle.net: 10547/624168
  • Scopus: 85077310495

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