Computer-aided diagnosis in chest radiography: a survey
- PMID: 11811823
- DOI: 10.1109/42.974918
Computer-aided diagnosis in chest radiography: a survey
Abstract
The traditional chest radiograph is still ubiquitous in clinical practice, and will likely remain so for quite some time. Yet, its interpretation is notoriously difficult. This explains the continued interest in computer-aided diagnosis for chest radiography. The purpose of this survey is to categorize and briefly review the literature on computer analysis of chest images, which comprises over 150 papers published in the last 30 years. Remaining challenges are indicated and some directions for future research are given.
Similar articles
-
Computer-aided diagnosis in chest radiography: beyond nodules.Eur J Radiol. 2009 Nov;72(2):226-30. doi: 10.1016/j.ejrad.2009.05.061. Epub 2009 Jul 14. Eur J Radiol. 2009. PMID: 19604661 Review.
-
Digital tomosynthesis of the chest.J Thorac Imaging. 2008 May;23(2):86-92. doi: 10.1097/RTI.0b013e318173e162. J Thorac Imaging. 2008. PMID: 18520565 Review.
-
Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification.IEEE Trans Med Imaging. 2006 May;25(5):602-11. doi: 10.1109/TMI.2006.872747. IEEE Trans Med Imaging. 2006. PMID: 16689264
-
False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network.Acad Radiol. 2005 Feb;12(2):191-201. doi: 10.1016/j.acra.2004.11.017. Acad Radiol. 2005. PMID: 15721596
-
Local contralateral subtraction based on bilateral symmetry of lung for reduction of false positives in computerized detection of pulmonary nodules.IEEE Trans Biomed Eng. 2004 May;51(5):778-89. doi: 10.1109/TBME.2004.824136. IEEE Trans Biomed Eng. 2004. PMID: 15132504
Cited by
-
A Survey on Artificial Intelligence in Pulmonary Imaging.Wiley Interdiscip Rev Data Min Knowl Discov. 2023 Nov-Dec;13(6):e1510. doi: 10.1002/widm.1510. Epub 2023 Jul 7. Wiley Interdiscip Rev Data Min Knowl Discov. 2023. PMID: 38249785
-
[Non-local attention and multi-task learning based lung segmentation in chest X-ray].Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Oct 25;40(5):912-919. doi: 10.7507/1001-5515.202211079. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023. PMID: 37879920 Free PMC article. Chinese.
-
Evaluating artificial intelligence for comparative radiography.Int J Legal Med. 2024 Jan;138(1):307-327. doi: 10.1007/s00414-023-03080-4. Epub 2023 Oct 6. Int J Legal Med. 2024. PMID: 37801115
-
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images.Biomed Signal Process Control. 2023 Aug;85:104857. doi: 10.1016/j.bspc.2023.104857. Epub 2023 Mar 21. Biomed Signal Process Control. 2023. PMID: 36968651 Free PMC article.
-
MS-Net: Learning to assess the malignant status of a lung nodule by a radiologist and her peers.J Appl Clin Med Phys. 2023 Jul;24(7):e13964. doi: 10.1002/acm2.13964. Epub 2023 Mar 16. J Appl Clin Med Phys. 2023. PMID: 36929569 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical