Automatic 3D pulmonary nodule detection in CT images: A survey

Igor Rafael S. Valente, Paulo César Cortez, Edson Cavalcanti Neto, José Marques Soares, Victor Hugo C. de Albuquerque, João Manuel R.S. Tavares
2016 Computer Methods and Programs in Biomedicine  
This work presents a systematic review of techniques for the 3D automatic detection of pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze the latest technology being used for the development of computational diagnostic tools to assist in the acquisition, storage and, mainly, processing and analysis of the biomedical data. Also, this work identifies the progress made, so far, evaluates the challenges to be overcome and provides an analysis of future
more » ... As far as the authors know, this is the first time that a review is devoted exclusively to automated 3D techniques for the detection of pulmonary nodules from lung CT images, which makes this work of noteworthy value. The research covered the published works in the Web of Science, PubMed, Science Direct and IEEEXplore up to December 2014. Each work found that referred to automated 3D segmentation of the lungs was individually analyzed to identify its objective, methodology and results. Based on the analysis of the selected works, several studies were seen to be useful for the construction of medical diagnostic
doi:10.1016/j.cmpb.2015.10.006 pmid:26652979 fatcat:7xrd2do5uvf7xlg4u3awzqjrwa