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DC Field | Value | Language |
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dc.contributor.author | Heckel, Frank | - |
dc.contributor.author | Moltz, Jan H. | - |
dc.contributor.author | Meine, Hans | - |
dc.contributor.author | Geisler, Benjamin | - |
dc.contributor.author | Kießling, Andreas | - |
dc.contributor.author | D'Anastasi, Melvin | - |
dc.contributor.author | Pinto dos Santos, Daniel | - |
dc.contributor.author | Theruvath, Ashok Joseph | - |
dc.contributor.author | Hahn, Horst K. | - |
dc.date.accessioned | 2022-04-26T17:57:56Z | - |
dc.date.available | 2022-04-26T17:57:56Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Heckel, F., Moltz, J. H., Meine, H., Geisler, B., Kießling, A., D’Anastasi, M.,...Hahn, H. K. (2014). On the evaluation of segmentation editing tools. Journal of Medical Imaging, 1(3), 034005. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/94466 | - |
dc.description.abstract | Efficient segmentation editing tools are important components in the segmentation process, as no automatic methods exist that always generate sufficient results. Evaluating segmentation editing algorithms is challenging, because their quality depends on the user’s subjective impression. So far, no established methods for an objective, comprehensive evaluation of such tools exist and, particularly, intermediate segmentation results are not taken into account. We discuss the evaluation of editing algorithms in the context of tumor segmentation in computed tomography. We propose a rating scheme to qualitatively measure the accuracy and efficiency of editing tools in user studies. In order to objectively summarize the overall quality, we propose two scores based on the subjective rating and the quantified segmentation quality over time. Finally, a simulation-based evaluation approach is discussed, which allows a more reproducible evaluation without the need for human input. This automated evaluation complements user studies, allowing a more convincing evaluation, particularly during development, where frequent user studies are not possible. The proposed methods have been used to evaluate two dedicated editing algorithms on 131 representative tumor segmentations. We show how the comparison of editing algorithms benefits from the proposed methods. Our results also show the correlation of the suggested quality score with the qualitative ratings. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | S P I E - International Society for Optical Engineering | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Image segmentation -- Mathematical models | en_GB |
dc.subject | Image analysis -- Mathematical models | en_GB |
dc.subject | Tomography -- Data processing | en_GB |
dc.subject | Diagnostic imaging -- Digital techniques | en_GB |
dc.subject | Three-dimensional imaging in medicine | en_GB |
dc.title | On the evaluation of segmentation editing tools | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1117/1.JMI.1.3.034005 | - |
dc.publication.title | Journal of Medical Imaging | en_GB |
Appears in Collections: | Scholarly Works - FacM&SCRNM |
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File | Description | Size | Format | |
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On_the_evaluation_of_segmentation_editing_tools_2014.pdf Restricted Access | 2.33 MB | Adobe PDF | View/Open Request a copy |
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