205 related articles for article (PubMed ID: 36725356)
1. 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]
2. 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]
3. 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]
4. 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]
5. Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study.
Ueda D; Yamamoto A; Shimazaki A; Walston SL; Matsumoto T; Izumi N; Tsukioka T; Komatsu H; Inoue H; Kabata D; Nishiyama N; Miki Y
BMC Cancer; 2021 Oct; 21(1):1120. PubMed ID: 34663260
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. Deep learning-based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals.
Lee JH; Park S; Hwang EJ; Goo JM; Lee WY; Lee S; Kim H; Andrews JR; Park CM
Eur Radiol; 2021 Feb; 31(2):1069-1080. PubMed ID: 32857202
[TBL] [Abstract][Full Text] [Related]
10. 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]
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. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
Rajpurkar P; Irvin J; Ball RL; Zhu K; Yang B; Mehta H; Duan T; Ding D; Bagul A; Langlotz CP; Patel BN; Yeom KW; Shpanskaya K; Blankenberg FG; Seekins J; Amrhein TJ; Mong DA; Halabi SS; Zucker EJ; Ng AY; Lungren MP
PLoS Med; 2018 Nov; 15(11):e1002686. PubMed ID: 30457988
[TBL] [Abstract][Full Text] [Related]
13. Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial.
Nam JG; Kim HJ; Lee EH; Hong W; Park J; Hwang EJ; Park CM; Goo JM
Eur Radiol; 2022 Jan; 32(1):213-222. PubMed ID: 34264351
[TBL] [Abstract][Full Text] [Related]
14. Performance of artificial intelligence-based software for the automatic detection of lung lesions on chest radiographs of patients with suspected lung cancer.
Takamatsu A; Ueno M; Yoshida K; Kobayashi T; Kobayashi S; Gabata T
Jpn J Radiol; 2024 Mar; 42(3):291-299. PubMed ID: 38032419
[TBL] [Abstract][Full Text] [Related]
15. Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation.
Majkowska A; Mittal S; Steiner DF; Reicher JJ; McKinney SM; Duggan GE; Eswaran K; Cameron Chen PH; Liu Y; Kalidindi SR; Ding A; Corrado GS; Tse D; Shetty S
Radiology; 2020 Feb; 294(2):421-431. PubMed ID: 31793848
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.
Hirose T; Nitta N; Shiraishi J; Nagatani Y; Takahashi M; Murata K
Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867
[TBL] [Abstract][Full Text] [Related]
18. AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset.
Yoo H; Lee SH; Arru CD; Doda Khera R; Singh R; Siebert S; Kim D; Lee Y; Park JH; Eom HJ; Digumarthy SR; Kalra MK
Eur Radiol; 2021 Dec; 31(12):9664-9674. PubMed ID: 34089072
[TBL] [Abstract][Full Text] [Related]
19. DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.
Wehbe RM; Sheng J; Dutta S; Chai S; Dravid A; Barutcu S; Wu Y; Cantrell DR; Xiao N; Allen BD; MacNealy GA; Savas H; Agrawal R; Parekh N; Katsaggelos AK
Radiology; 2021 Apr; 299(1):E167-E176. PubMed ID: 33231531
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
