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01-07-2019 | Computed Tomography | Image & Signal Processing

An Appraisal of Nodule Diagnosis for Lung Cancer in CT Images

Authors: Guobin Zhang, Zhiyong Yang, Li Gong, Shan Jiang, Lu Wang, Xi Cao, Lin Wei, Hongyun Zhang, Ziqi Liu

Published in: Journal of Medical Systems | Issue 7/2019

Abstract

As “the second eyes” of radiologists, computer-aided diagnosis systems play a significant role in nodule detection and diagnosis for lung cancer. In this paper, we aim to provide a systematic survey of state-of-the-art techniques (both traditional techniques and deep learning techniques) for nodule diagnosis from computed tomography images. This review first introduces the current progress and the popular structure used for nodule diagnosis. In particular, we provide a detailed overview of the five major stages in the computer-aided diagnosis systems: data acquisition, nodule segmentation, feature extraction, feature selection and nodule classification. Second, we provide a detailed report of the selected works and make a comprehensive comparison between selected works. The selected papers are from the IEEE Xplore, Science Direct, PubMed, and Web of Science databases up to December 2018. Third, we discuss and summarize the better techniques used in nodule diagnosis and indicate the existing future challenges in this field, such as improving the area under the receiver operating characteristic curve and accuracy, developing new deep learning-based diagnosis techniques, building efficient feature sets (fusing traditional features and deep features), developing high-quality labeled databases with malignant and benign nodules and promoting the cooperation between medical organizations and academic institutions.

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Title: An Appraisal of Nodule Diagnosis for Lung Cancer in CT Images
Authors: Guobin Zhang
Zhiyong Yang
Li Gong
Shan Jiang
Lu Wang
Xi Cao
Lin Wei
Hongyun Zhang
Ziqi Liu
Publication date: 01-07-2019
Publisher: Springer US
Keywords: Computed Tomography
Lung Cancer
Computed Tomography
Lung Cancer
Pulmonary Nodule
Lung Cancer
Published in: Journal of Medical Systems / Issue 7/2019
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-019-1327-0

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An Appraisal of Nodule Diagnosis for Lung Cancer in CT Images

Abstract

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Abstract

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