Graduate Program in Computer Science - Federal University of Santa Catarina, Florianopolis, Brazil.
Image Processing and Computer Graphics Lab - National Brazilian Institute for Digital Convergence - Federal University of Santa Catarina, Florianopolis, Brazil.
J Digit Imaging. 2018 Dec;31(6):799-850. doi: 10.1007/s10278-018-0101-z.
This paper presents a systematic literature review concerning 3D segmentation algorithms for computerized tomographic imaging. This analysis covers articles published in the range 2006-March 2018 found in four scientific databases (Science Direct, IEEEXplore, ACM, and PubMed), using the methodology for systematic review proposed by Kitchenham. We present the analyzed segmentation methods categorized according to its application, algorithmic strategy, validation, and use of prior knowledge, as well as its general conceptual description. Additionally, we present a general overview, discussions, and further prospects for the 3D segmentation methods applied for tomographic images.
本文对计算机断层成像的 3D 分割算法进行了系统的文献回顾。该分析涵盖了 2006 年至 2018 年 3 月在四个科学数据库（Science Direct、IEEEXplore、ACM 和 PubMed）中发表的文章，使用了由 Kitchenham 提出的系统综述方法。我们根据其应用、算法策略、验证以及先验知识的使用情况对分析后的分割方法进行了分类，并对其进行了一般概念描述。此外，我们还对应用于断层图像的 3D 分割方法进行了概述、讨论和进一步展望。
