147 related articles for article (PubMed ID: 38141069)
1. A semantic fidelity interpretable-assisted decision model for lung nodule classification.
Zhan X; Long H; Gou F; Wu J
Int J Comput Assist Radiol Surg; 2024 Apr; 19(4):625-633. PubMed ID: 38141069
[TBL] [Abstract][Full Text] [Related]
2. Res-trans networks for lung nodule classification.
Liu D; Liu F; Tie Y; Qi L; Wang F
Int J Comput Assist Radiol Surg; 2022 Jun; 17(6):1059-1068. PubMed ID: 35290646
[TBL] [Abstract][Full Text] [Related]
3. Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.
Lei Y; Tian Y; Shan H; Zhang J; Wang G; Kalra MK
Med Image Anal; 2020 Feb; 60():101628. PubMed ID: 31865281
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images.
Sihong Chen ; Jing Qin ; Xing Ji ; Baiying Lei ; Tianfu Wang ; Dong Ni ; Jie-Zhi Cheng
IEEE Trans Med Imaging; 2017 Mar; 36(3):802-814. PubMed ID: 28113928
[TBL] [Abstract][Full Text] [Related]
6. Nodule-CLIP: Lung nodule classification based on multi-modal contrastive learning.
Sun L; Zhang M; Lu Y; Zhu W; Yi Y; Yan F
Comput Biol Med; 2024 Jun; 175():108505. PubMed ID: 38688129
[TBL] [Abstract][Full Text] [Related]
7. Semantic characteristic grading of pulmonary nodules based on deep neural networks.
Liu C; Zhao R; Pang M
BMC Med Imaging; 2023 Oct; 23(1):156. PubMed ID: 37833636
[TBL] [Abstract][Full Text] [Related]
8. MSM-ViT: A multi-scale MobileViT for pulmonary nodule classification using CT images.
Cao K; Tao H; Wang Z; Jin X
J Xray Sci Technol; 2023; 31(4):731-744. PubMed ID: 37125604
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.
Huang YS; Wang TC; Huang SZ; Zhang J; Chen HM; Chang YC; Chang RF
Comput Methods Programs Biomed; 2023 Feb; 229():107278. PubMed ID: 36463674
[TBL] [Abstract][Full Text] [Related]
11. Dual-branch feature fusion S3D V-Net network for lung nodules segmentation.
Xu X; Du L; Yin D
J Appl Clin Med Phys; 2024 Jun; 25(6):e14331. PubMed ID: 38478388
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Robust explanation supervision for false positive reduction in pulmonary nodule detection.
Zhao Q; Chang CW; Yang X; Zhao L
Med Phys; 2024 Mar; 51(3):1687-1701. PubMed ID: 38224306
[TBL] [Abstract][Full Text] [Related]
15. A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics.
Kaya A; Can AB
J Biomed Inform; 2015 Aug; 56():69-79. PubMed ID: 26008877
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. MS-Net: Learning to assess the malignant status of a lung nodule by a radiologist and her peers.
Dai D; Dong C; Li Z; Xu S
J Appl Clin Med Phys; 2023 Jul; 24(7):e13964. PubMed ID: 36929569
[TBL] [Abstract][Full Text] [Related]
18. 3D gray density coding feature for benign-malignant pulmonary nodule classification on chest CT.
Zheng B; Yang D; Zhu Y; Liu Y; Hu J; Bai C
Med Phys; 2021 Dec; 48(12):7826-7836. PubMed ID: 34655238
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Attention pyramid pooling network for artificial diagnosis on pulmonary nodules.
Wang H; Zhu H; Ding L; Yang K
PLoS One; 2024; 19(5):e0302641. PubMed ID: 38753596
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
