583 related articles for article (PubMed ID: 32568165)
1. Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.
Mastouri R; Khlifa N; Neji H; Hantous-Zannad S
J Xray Sci Technol; 2020; 28(4):591-617. PubMed ID: 32568165
[TBL] [Abstract][Full Text] [Related]
2. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
[TBL] [Abstract][Full Text] [Related]
3. A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.
Gu Y; Chi J; Liu J; Yang L; Zhang B; Yu D; Zhao Y; Lu X
Comput Biol Med; 2021 Oct; 137():104806. PubMed ID: 34461501
[TBL] [Abstract][Full Text] [Related]
4. Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss.
Tran GS; Nghiem TP; Nguyen VT; Luong CM; Burie JC
J Healthc Eng; 2019; 2019():5156416. PubMed ID: 30863524
[TBL] [Abstract][Full Text] [Related]
5. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
6. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
[TBL] [Abstract][Full Text] [Related]
7. Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.
Zhao X; Qi S; Zhang B; Ma H; Qian W; Yao Y; Sun J
J Xray Sci Technol; 2019; 27(4):615-629. PubMed ID: 31227682
[TBL] [Abstract][Full Text] [Related]
8. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
Zheng S; Guo J; Cui X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026
[TBL] [Abstract][Full Text] [Related]
9. Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.
Eun H; Kim D; Jung C; Kim C
Comput Methods Programs Biomed; 2018 Oct; 165():215-224. PubMed ID: 30337076
[TBL] [Abstract][Full Text] [Related]
10. High performance lung nodule detection schemes in CT using local and global information.
Guo W; Li Q
Med Phys; 2012 Aug; 39(8):5157-68. PubMed ID: 22894441
[TBL] [Abstract][Full Text] [Related]
11. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.
Cui X; Zheng S; Heuvelmans MA; Du Y; Sidorenkov G; Fan S; Li Y; Xie Y; Zhu Z; Dorrius MD; Zhao Y; Veldhuis RNJ; de Bock GH; Oudkerk M; van Ooijen PMA; Vliegenthart R; Ye Z
Eur J Radiol; 2022 Jan; 146():110068. PubMed ID: 34871936
[TBL] [Abstract][Full Text] [Related]
12. Research progress of computer aided diagnosis system for pulmonary nodules in CT images.
Wang Y; Wu B; Zhang N; Liu J; Ren F; Zhao L
J Xray Sci Technol; 2020; 28(1):1-16. PubMed ID: 31815727
[TBL] [Abstract][Full Text] [Related]
13. Expert knowledge-infused deep learning for automatic lung nodule detection.
Tan J; Huo Y; Liang Z; Li L
J Xray Sci Technol; 2019; 27(1):17-35. PubMed ID: 30452432
[TBL] [Abstract][Full Text] [Related]
14. Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.
Wang Q; Shen F; Shen L; Huang J; Sheng W
J Digit Imaging; 2019 Dec; 32(6):971-979. PubMed ID: 31062113
[TBL] [Abstract][Full Text] [Related]
15. Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.
Huang X; Sun W; Tseng TB; Li C; Qian W
Comput Med Imaging Graph; 2019 Jun; 74():25-36. PubMed ID: 30954678
[TBL] [Abstract][Full Text] [Related]
16. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.
Cascio D; Magro R; Fauci F; Iacomi M; Raso G
Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972
[TBL] [Abstract][Full Text] [Related]
17. CAD system for lung nodule detection using deep learning with CNN.
Manickavasagam R; Selvan S; Selvan M
Med Biol Eng Comput; 2022 Jan; 60(1):221-228. PubMed ID: 34811644
[TBL] [Abstract][Full Text] [Related]
18. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
[TBL] [Abstract][Full Text] [Related]
19. Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.
Kozuka T; Matsukubo Y; Kadoba T; Oda T; Suzuki A; Hyodo T; Im S; Kaida H; Yagyu Y; Tsurusaki M; Matsuki M; Ishii K
Jpn J Radiol; 2020 Nov; 38(11):1052-1061. PubMed ID: 32592003
[TBL] [Abstract][Full Text] [Related]
20. A novel computer-aided lung nodule detection system for CT images.
Tan M; Deklerck R; Jansen B; Bister M; Cornelis J
Med Phys; 2011 Oct; 38(10):5630-45. PubMed ID: 21992380
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
