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dc.contributor.authorKaba, Djibril
dc.contributor.authorMcFarlane, Nigel J.B.
dc.contributor.authorDong, Feng
dc.contributor.authorGraf, Norbert
dc.contributor.authorYe, Xujiong
dc.date.accessioned2020-07-08T10:41:16Z
dc.date.available2019-12-31T00:00:00Z
dc.date.available2020-07-08T10:41:16Z
dc.date.issued2019-12-31
dc.identifier.citationKaba Dl, McFarlane N, Dong F, Graf N, Ye X (2019) 'Nephroblastoma analysis in MRI images', Image Analysis and Stereology, 38 (2), pp.173-183.en_US
dc.identifier.issn1580-3139
dc.identifier.doi10.5566/ias.2000
dc.identifier.urihttp://hdl.handle.net/10547/624168
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherInternational Society for Stereologyen_US
dc.relation.urlhttps://www.ias-iss.org/ojs/IAS/article/view/2000en_US
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMRIen_US
dc.subjectnephroblastomaen_US
dc.subjectimagingen_US
dc.subjectSubject Categories::B800 Medical Technologyen_US
dc.titleNephroblastoma analysis in MRI imagesen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.contributor.departmentSaarland University Hospitalen_US
dc.contributor.departmentUniversity of Lincolnen_US
dc.identifier.journalImage Analysis and Stereologyen_US
dc.date.updated2020-07-08T10:36:46Z
dc.description.noteopen access


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