Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6891000 | Computer Methods and Programs in Biomedicine | 2018 | 51 Pages |
Abstract
Based on the performed analysis, it was possible to identify segmentation approaches based on distinct image processing classes that can be used to accurately segment the kidney in images of different imaging modalities. Nevertheless, further research on kidney segmentation must be conducted to overcome the current drawbacks of the state-of-the-art methods. Moreover, a standardization of the evaluation database and metrics is needed to allow a direct comparison between methods.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Helena R. Torres, Sandro Queirós, Pedro Morais, Bruno Oliveira, Jaime C. Fonseca, João L. Vilaça,