Open-source software platform for medical image segmentation applications
| Autor: | Juan P. D'Amato, Rafael Namías, M. Del Fresno |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
MEDICAL IMAGING ANALYSIS
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Context (language use) Image segmentation PARALLEL SEGMENTATION MULTIPLE SEGMENTATION FRAMEWORK Object-oriented design Ciencias de la Computación Market segmentation Ciencias de la Computación e Información Medical imaging Software design Segmentation Computer vision Artificial intelligence business CIENCIAS NATURALES Y EXACTAS Graphical user interface |
| Zdroj: | SIPAIM |
| DOI: | 10.1117/12.2283487.short |
| Popis: | Segmenting 2D and 3D images is a crucial and challenging problem in medical image analysis. Although several image segmentation algorithms have been proposed for different applications, no universal method currently exists. Moreover, their use is usually limited when detection of complex and multiple adjacent objects of interest is needed. In addition, the continually increasing volumes of medical imaging scans require more efficient segmentation software design and highly usable applications. In this context, we present an extension of our previous segmentation framework which allows the combination of existing explicit deformable models in an efficient and transparent way, handling simultaneously different segmentation strategies and interacting with a graphic user interface (GUI). We present the object-oriented design and the general architecture which consist of two layers: the GUI at the top layer, and the processing core filters at the bottom layer. We apply the framework for segmenting different real-case medical image scenarios on public available datasets including bladder and prostate segmentation from 2D MRI, and heart segmentation in 3D CT. Our experiments on these concrete problems show that this framework facilitates complex and multi-object segmentation goals while providing a fast prototyping open-source segmentation tool. Fil: Namias, Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina Fil: D'amato, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina Fil: del Fresno, Mirta Mariana. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina |
| Databáze: | OpenAIRE |
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