An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images.

ABSTRACT: Lung cancer is one of the most deadly diseases around the world representing about 26% of all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent diagnosis and treatment. Before diagnosis, lung nodule classification is a key step, especially since automatic classification can help clinicians by providing a valuable opinion. Modern computer vision and machine learning technologies allow very fast and reliable CT image classification. This research area has become very hot for its high efficiency and labor saving. The paper aims to draw a systematic review of the state of the art of automatic classification of lung nodules. This research paper covers published works selected from the Web of Science, IEEEXplore, and DBLP databases up to June 2018. Each paper

SUBMITTER: Wang X 

PROVIDER: S-EPMC6338921 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature