Nephroblastoma analysis in MRI images
Kaba, Djibril and McFarlane, Nigel and Dong, Feng and Graf, Norbert and Ye, Xujiong (2019) Nephroblastoma analysis in MRI images. Image Analysis and Stereology, 38 (2). pp. 173-183. ISSN 1580-3139 (https://doi.org/10.5566/ias.2000)
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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.
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Item type: Article ID code: 70015 Dates: DateEvent31 July 2019Published11 June 2019AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 03 Oct 2019 09:41 Last modified: 11 Nov 2024 12:27 URI: https://strathprints.strath.ac.uk/id/eprint/70015