189 related articles for article (PubMed ID: 32674041)
1. MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.
Xu X; Wang C; Guo J; Gan Y; Wang J; Bai H; Zhang L; Li W; Yi Z
Med Image Anal; 2020 Oct; 65():101772. PubMed ID: 32674041
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.
Xie Y; Xia Y; Zhang J; Song Y; Feng D; Fulham M; Cai W
IEEE Trans Med Imaging; 2019 Apr; 38(4):991-1004. PubMed ID: 30334786
[TBL] [Abstract][Full Text] [Related]
4. Multi-scale Convolutional Neural Networks for Lung Nodule Classification.
Shen W; Zhou M; Yang F; Yang C; Tian J
Inf Process Med Imaging; 2015; 24():588-99. PubMed ID: 26221705
[TBL] [Abstract][Full Text] [Related]
5. 3D multi-view squeeze-and-excitation convolutional neural network for lung nodule classification.
Yang Y; Li X; Fu J; Han Z; Gao B
Med Phys; 2023 Mar; 50(3):1905-1916. PubMed ID: 36639958
[TBL] [Abstract][Full Text] [Related]
6. Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.
Apostolopoulos ID; Pintelas EG; Livieris IE; Apostolopoulos DJ; Papathanasiou ND; Pintelas PE; Panayiotakis GS
Med Biol Eng Comput; 2021 Jun; 59(6):1299-1310. PubMed ID: 34003394
[TBL] [Abstract][Full Text] [Related]
7. Lung nodule classification using deep Local-Global networks.
Al-Shabi M; Lan BL; Chan WY; Ng KH; Tan M
Int J Comput Assist Radiol Surg; 2019 Oct; 14(10):1815-1819. PubMed ID: 31020576
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Highly accurate model for prediction of lung nodule malignancy with CT scans.
Causey JL; Zhang J; Ma S; Jiang B; Qualls JA; Politte DG; Prior F; Zhang S; Huang X
Sci Rep; 2018 Jun; 8(1):9286. PubMed ID: 29915334
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
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. Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline.
Bonavita I; Rafael-Palou X; Ceresa M; Piella G; Ribas V; González Ballester MA
Comput Methods Programs Biomed; 2020 Mar; 185():105172. PubMed ID: 31710985
[TBL] [Abstract][Full Text] [Related]
14. MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection.
Wu Z; Ge R; Shi G; Zhang L; Chen Y; Luo L; Cao Y; Yu H
Phys Med Biol; 2020 Dec; 65(23):235053. PubMed ID: 32698172
[TBL] [Abstract][Full Text] [Related]
15. Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs.
Mehta K; Jain A; Mangalagiri J; Menon S; Nguyen P; Chapman DR
J Digit Imaging; 2021 Jun; 34(3):647-666. PubMed ID: 33532893
[TBL] [Abstract][Full Text] [Related]
16. Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories.
Yi L; Zhang L; Xu X; Guo J
IEEE Trans Med Imaging; 2023 Jan; 42(1):317-328. PubMed ID: 36178994
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Automated lung cancer diagnosis using three-dimensional convolutional neural networks.
Perez G; Arbelaez P
Med Biol Eng Comput; 2020 Aug; 58(8):1803-1815. PubMed ID: 32504345
[TBL] [Abstract][Full Text] [Related]
19. Pulmonary nodule detection in CT scans with equivariant CNNs.
Winkels M; Cohen TS
Med Image Anal; 2019 Jul; 55():15-26. PubMed ID: 31003034
[TBL] [Abstract][Full Text] [Related]
20. Pulmonary nodule classification with deep residual networks.
Nibali A; He Z; Wollersheim D
Int J Comput Assist Radiol Surg; 2017 Oct; 12(10):1799-1808. PubMed ID: 28501942
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]