138 related articles for article (PubMed ID: 38640144)
1. Utilizing Deep Learning and Computed Tomography to Determine Pulmonary Nodule Activity in Patients With Nontuberculous Mycobacterial-Lung Disease.
Lancaster AC; Cardin ME; Nguyen JA; Mehta TI; Oncel D; Bai HX; Cohen KA; Lin CT
J Thorac Imaging; 2024 May; 39(3):194-199. PubMed ID: 38640144
[TBL] [Abstract][Full Text] [Related]
2. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.
Sim Y; Chung MJ; Kotter E; Yune S; Kim M; Do S; Han K; Kim H; Yang S; Lee DJ; Choi BW
Radiology; 2020 Jan; 294(1):199-209. PubMed ID: 31714194
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.
Gong J; Liu J; Hao W; Nie S; Zheng B; Wang S; Peng W
Eur Radiol; 2020 Apr; 30(4):1847-1855. PubMed ID: 31811427
[TBL] [Abstract][Full Text] [Related]
7. Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.
Hardie RC; Trout AT; Dillman JR; Narayanan BN; Tanimoto AA
AJR Am J Roentgenol; 2024 Feb; 222(2):e2330345. PubMed ID: 37991333
[No Abstract] [Full Text] [Related]
8. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
[TBL] [Abstract][Full Text] [Related]
9. Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.
Huang C; Lv W; Zhou C; Mao L; Xu Q; Li X; Qi L; Xia F; Li X; Zhang Q; Zhang L; Lu G
Eur Radiol; 2020 Dec; 30(12):6913-6923. PubMed ID: 32696253
[TBL] [Abstract][Full Text] [Related]
10. Distinguishing nontuberculous mycobacterial lung disease and Mycobacterium tuberculosis lung disease on X-ray images using deep transfer learning.
Park M; Lee Y; Kim S; Kim YJ; Kim SY; Kim Y; Kim HM
BMC Infect Dis; 2023 Jan; 23(1):32. PubMed ID: 36658559
[TBL] [Abstract][Full Text] [Related]
11. Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning.
Nishio M; Sugiyama O; Yakami M; Ueno S; Kubo T; Kuroda T; Togashi K
PLoS One; 2018; 13(7):e0200721. PubMed ID: 30052644
[TBL] [Abstract][Full Text] [Related]
12. Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis.
Nagatani Y; Takahashi M; Murata K; Ikeda M; Yamashiro T; Miyara T; Koyama H; Koyama M; Sato Y; Moriya H; Noma S; Tomiyama N; Ohno Y; Murayama S;
Eur J Radiol; 2015 Jul; 84(7):1401-12. PubMed ID: 25892051
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning for the Classification of Small (≤2 cm) Pulmonary Nodules on CT Imaging: A Preliminary Study.
Chae KJ; Jin GY; Ko SB; Wang Y; Zhang H; Choi EJ; Choi H
Acad Radiol; 2020 Apr; 27(4):e55-e63. PubMed ID: 31780395
[TBL] [Abstract][Full Text] [Related]
14. A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
Ren Y; Tsai MY; Chen L; Wang J; Li S; Liu Y; Jia X; Shen C
Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):287-295. PubMed ID: 31768885
[TBL] [Abstract][Full Text] [Related]
15. Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework.
Wang L; Ding W; Mo Y; Shi D; Zhang S; Zhong L; Wang K; Wang J; Huang C; Zhang S; Ye Z; Shen J; Xing Z
Eur J Nucl Med Mol Imaging; 2021 Dec; 48(13):4293-4306. PubMed ID: 34131803
[TBL] [Abstract][Full Text] [Related]
16. Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.
Murchison JT; Ritchie G; Senyszak D; Nijwening JH; van Veenendaal G; Wakkie J; van Beek EJR
PLoS One; 2022; 17(5):e0266799. PubMed ID: 35511758
[TBL] [Abstract][Full Text] [Related]
17. Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.
Massion PP; Antic S; Ather S; Arteta C; Brabec J; Chen H; Declerck J; Dufek D; Hickes W; Kadir T; Kunst J; Landman BA; Munden RF; Novotny P; Peschl H; Pickup LC; Santos C; Smith GT; Talwar A; Gleeson F
Am J Respir Crit Care Med; 2020 Jul; 202(2):241-249. PubMed ID: 32326730
[No Abstract] [Full Text] [Related]
18. Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.
Nam JG; Park S; Hwang EJ; Lee JH; Jin KN; Lim KY; Vu TH; Sohn JH; Hwang S; Goo JM; Park CM
Radiology; 2019 Jan; 290(1):218-228. PubMed ID: 30251934
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis.
Wang Q; Xu S; Zhang G; Zhang X; Gu J; Yang S; Zeng M; Zhang Z
J Appl Clin Med Phys; 2022 Nov; 23(11):e13759. PubMed ID: 35998185
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
