959 related articles for article (PubMed ID: 30390571)
1. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.
Gu Y; Lu X; Yang L; Zhang B; Yu D; Zhao Y; Gao L; Wu L; Zhou T
Comput Biol Med; 2018 Dec; 103():220-231. PubMed ID: 30390571
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks.
Gong L; Jiang S; Yang Z; Zhang G; Wang L
Int J Comput Assist Radiol Surg; 2019 Nov; 14(11):1969-1979. PubMed ID: 31028657
[TBL] [Abstract][Full Text] [Related]
5. Detection of pulmonary nodules based on a multiscale feature 3D U-Net convolutional neural network of transfer learning.
Tang S; Yang M; Bai J
PLoS One; 2020; 15(8):e0235672. PubMed ID: 32845877
[TBL] [Abstract][Full Text] [Related]
6. An efficient multi-path 3D convolutional neural network for false-positive reduction of pulmonary nodule detection.
Yuan H; Fan Z; Wu Y; Cheng J
Int J Comput Assist Radiol Surg; 2021 Dec; 16(12):2269-2277. PubMed ID: 34449037
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
Dou Q; Chen H; Yu L; Qin J; Heng PA
IEEE Trans Biomed Eng; 2017 Jul; 64(7):1558-1567. PubMed ID: 28113302
[TBL] [Abstract][Full Text] [Related]
9. Multi-level 3D Densenets for False-positive Reduction in Lung Nodule Detection Based on Chest Computed Tomography.
Lu X; Gu Y; Yang L; Zhang B; Zhao Y; Yu D; Zhao J; Gao L; Zhou T; Liu Y; Zhang W
Curr Med Imaging; 2020; 16(8):1004-1021. PubMed ID: 33081662
[TBL] [Abstract][Full Text] [Related]
10. The effect of pulmonary vessel suppression on computerized detection of nodules in chest CT scans.
Gu X; Xie W; Fang Q; Zhao J; Li Q
Med Phys; 2020 Oct; 47(10):4917-4927. PubMed ID: 32681587
[TBL] [Abstract][Full Text] [Related]
11. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Setio AAA; Traverso A; de Bel T; Berens MSN; Bogaard CVD; Cerello P; Chen H; Dou Q; Fantacci ME; Geurts B; Gugten RV; Heng PA; Jansen B; de Kaste MMJ; Kotov V; Lin JY; Manders JTMC; Sóñora-Mengana A; García-Naranjo JC; Papavasileiou E; Prokop M; Saletta M; Schaefer-Prokop CM; Scholten ET; Scholten L; Snoeren MM; Torres EL; Vandemeulebroucke J; Walasek N; Zuidhof GCA; Ginneken BV; Jacobs C
Med Image Anal; 2017 Dec; 42():1-13. PubMed ID: 28732268
[TBL] [Abstract][Full Text] [Related]
12. Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method.
Jung H; Kim B; Lee I; Lee J; Kang J
BMC Med Imaging; 2018 Dec; 18(1):48. PubMed ID: 30509191
[TBL] [Abstract][Full Text] [Related]
13. A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules.
Chen Y; Hou X; Yang Y; Ge Q; Zhou Y; Nie S
J Digit Imaging; 2023 Apr; 36(2):688-699. PubMed ID: 36544067
[TBL] [Abstract][Full Text] [Related]
14. 3D multi-view convolutional neural networks for lung nodule classification.
Kang G; Liu K; Hou B; Zhang N
PLoS One; 2017; 12(11):e0188290. PubMed ID: 29145492
[TBL] [Abstract][Full Text] [Related]
15. Attention-embedded complementary-stream CNN for false positive reduction in pulmonary nodule detection.
Sun L; Wang Z; Pu H; Yuan G; Guo L; Pu T; Peng Z
Comput Biol Med; 2021 Jun; 133():104357. PubMed ID: 33836449
[TBL] [Abstract][Full Text] [Related]
16. A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection.
Jin H; Li Z; Tong R; Lin L
Med Phys; 2018 May; 45(5):2097-2107. PubMed ID: 29500816
[TBL] [Abstract][Full Text] [Related]
17. Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection.
Kim BC; Yoon JS; Choi JS; Suk HI
Neural Netw; 2019 Jul; 115():1-10. PubMed ID: 30909118
[TBL] [Abstract][Full Text] [Related]
18. Two-stage lung nodule detection framework using enhanced UNet and convolutional LSTM networks in CT images.
Akila Agnes S; Anitha J; Arun Solomon A
Comput Biol Med; 2022 Oct; 149():106059. PubMed ID: 36087510
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection.
Chen S; Han Y; Lin J; Zhao X; Kong P
Artif Intell Med; 2020 Jul; 107():101881. PubMed ID: 32828440
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
