Central Medialness Adaptive Strategy for 3D Lung Nodule Segmentation in Thoracic CT Images
作者： Luis Gonçalves , Jorge Novo , Aurélio Campilho
DOI: 10.1007/978-3-319-41501-7_65
关键词:
摘要: In this paper, a Hessian-based strategy, based on the central medialness adaptive principle, was adapted and proposed in multiscale approach for 3D segmentation of pulmonary nodules chest CT scans. This proposal is compared with another well stated Hessian strategy literature, nodule extraction, order to demonstrate its accuracy.
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