922 related articles for article (PubMed ID: 30251934)
1. 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]
2. Deep Learning-based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs.
Jang S; Song H; Shin YJ; Kim J; Kim J; Lee KW; Lee SS; Lee W; Lee S; Lee KH
Radiology; 2020 Sep; 296(3):652-661. PubMed ID: 32692300
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs.
Hwang EJ; Park S; Jin KN; Kim JI; Choi SY; Lee JH; Goo JM; Aum J; Yim JJ; Park CM;
Clin Infect Dis; 2019 Aug; 69(5):739-747. PubMed ID: 30418527
[TBL] [Abstract][Full Text] [Related]
5. Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.
Hwang EJ; Park S; Jin KN; Kim JI; Choi SY; Lee JH; Goo JM; Aum J; Yim JJ; Cohen JG; Ferretti GR; Park CM;
JAMA Netw Open; 2019 Mar; 2(3):e191095. PubMed ID: 30901052
[TBL] [Abstract][Full Text] [Related]
6. Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location.
Ueno M; Yoshida K; Takamatsu A; Kobayashi T; Aoki T; Gabata T
Eur J Radiol; 2023 Sep; 166():111002. PubMed ID: 37499478
[TBL] [Abstract][Full Text] [Related]
7. Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.
Kim H; Park CM; Goo JM
Eur Radiol; 2020 Apr; 30(4):2346-2355. PubMed ID: 31900698
[TBL] [Abstract][Full Text] [Related]
8. Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.
Park S; Lee SM; Lee KH; Jung KH; Bae W; Choe J; Seo JB
Eur Radiol; 2020 Mar; 30(3):1359-1368. PubMed ID: 31748854
[TBL] [Abstract][Full Text] [Related]
9. Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net.
Kim YG; Cho Y; Wu CJ; Park S; Jung KH; Seo JB; Lee HJ; Hwang HJ; Lee SM; Kim N
Sci Rep; 2019 Dec; 9(1):18738. PubMed ID: 31822774
[TBL] [Abstract][Full Text] [Related]
10. External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic.
Lee DE; Chae KJ; Jin GY; Park SY; Jeong JS; Ahn SY
Acta Radiol; 2023 Nov; 64(11):2898-2907. PubMed ID: 37750179
[TBL] [Abstract][Full Text] [Related]
11. Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.
Kim YG; Lee SM; Lee KH; Jang R; Seo JB; Kim N
Eur Radiol; 2020 Sep; 30(9):4943-4951. PubMed ID: 32350657
[TBL] [Abstract][Full Text] [Related]
12. Added Value of Deep Learning-based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study.
Sung J; Park S; Lee SM; Bae W; Park B; Jung E; Seo JB; Jung KH
Radiology; 2021 May; 299(2):450-459. PubMed ID: 33754828
[TBL] [Abstract][Full Text] [Related]
13. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
[TBL] [Abstract][Full Text] [Related]
14. Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice.
Liang CH; Liu YC; Wu MT; Garcia-Castro F; Alberich-Bayarri A; Wu FZ
Clin Radiol; 2020 Jan; 75(1):38-45. PubMed ID: 31521323
[TBL] [Abstract][Full Text] [Related]
15. Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs.
Huh JE; Lee JH; Hwang EJ; Park CM
Korean J Radiol; 2023 Feb; 24(2):155-165. PubMed ID: 36725356
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.
Choi SY; Park S; Kim M; Park J; Choi YR; Jin KN
Medicine (Baltimore); 2021 Apr; 100(16):e25663. PubMed ID: 33879750
[TBL] [Abstract][Full Text] [Related]
17. Observer Performance for Detection of Pulmonary Nodules at Chest CT over a Large Range of Radiation Dose Levels.
Fletcher JG; Levin DL; Sykes AG; Lindell RM; White DB; Kuzo RS; Suresh V; Yu L; Leng S; Holmes DR; Inoue A; Johnson MP; Carter RE; McCollough CH
Radiology; 2020 Dec; 297(3):699-707. PubMed ID: 32990514
[TBL] [Abstract][Full Text] [Related]
18. Value of a Computer-aided Detection System Based on Chest Tomosynthesis Imaging for the Detection of Pulmonary Nodules.
Yamada Y; Shiomi E; Hashimoto M; Abe T; Matsusako M; Saida Y; Ogawa K
Radiology; 2018 Apr; 287(1):333-339. PubMed ID: 29206596
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of a Deep Learning-Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs.
Kim H; Lee KH; Han K; Lee JW; Kim JY; Im DJ; Hong YJ; Choi BW; Hur J
JAMA Netw Open; 2023 Jan; 6(1):e2253820. PubMed ID: 36719681
[TBL] [Abstract][Full Text] [Related]
20. Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers' performance and final diagnosis.
Toda N; Hashimoto M; Iwabuchi Y; Nagasaka M; Takeshita R; Yamada M; Yamada Y; Jinzaki M
Jpn J Radiol; 2023 Jan; 41(1):38-44. PubMed ID: 36121622
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
