229 related articles for article (PubMed ID: 38012620)
1. A novel fusion algorithm for benign-malignant lung nodule classification on CT images.
Ma L; Wan C; Hao K; Cai A; Liu L
BMC Pulm Med; 2023 Nov; 23(1):474. PubMed ID: 38012620
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks.
Onishi Y; Teramoto A; Tsujimoto M; Tsukamoto T; Saito K; Toyama H; Imaizumi K; Fujita H
Biomed Res Int; 2019; 2019():6051939. PubMed ID: 30719445
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.
Xie Y; Zhang J; Xia Y
Med Image Anal; 2019 Oct; 57():237-248. PubMed ID: 31352126
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment.
Shivwanshi RR; Nirala N
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37567211
[No Abstract] [Full Text] [Related]
9. 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]
10. Classification of lung cancer computed tomography images using a 3-dimensional deep convolutional neural network with multi-layer filter.
Siddiqui EA; Chaurasia V; Shandilya M
J Cancer Res Clin Oncol; 2023 Oct; 149(13):11279-11294. PubMed ID: 37368121
[TBL] [Abstract][Full Text] [Related]
11. Overcoming the Challenge of Accurate Segmentation of Lung Nodules: A Multi-crop CNN Approach.
Sweetline BC; Vijayakumaran C; Samydurai A
J Imaging Inform Med; 2024 Jun; 37(3):988-1007. PubMed ID: 38347393
[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. 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]
14. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
15. Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
Zhang S; Sun F; Wang N; Zhang C; Yu Q; Zhang M; Babyn P; Zhong H
J Digit Imaging; 2019 Dec; 32(6):995-1007. PubMed ID: 31044393
[TBL] [Abstract][Full Text] [Related]
16. BiRPN-YOLOvX: A weighted bidirectional recursive feature pyramid algorithm for lung nodule detection.
Han L; Li F; Yu H; Xia K; Xin Q; Zou X
J Xray Sci Technol; 2023; 31(2):301-317. PubMed ID: 36617767
[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. 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. 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]
20. 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]
[Next] [New Search]
