187 related articles for article (PubMed ID: 36719681)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.
Homayounieh F; Digumarthy S; Ebrahimian S; Rueckel J; Hoppe BF; Sabel BO; Conjeti S; Ridder K; Sistermanns M; Wang L; Preuhs A; Ghesu F; Mansoor A; Moghbel M; Botwin A; Singh R; Cartmell S; Patti J; Huemmer C; Fieselmann A; Joerger C; Mirshahzadeh N; Muse V; Kalra M
JAMA Netw Open; 2021 Dec; 4(12):e2141096. PubMed ID: 34964851
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.
Schalekamp S; van Ginneken B; Meiss L; Peters-Bax L; Quekel LG; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
Eur J Radiol; 2013 Dec; 82(12):2399-405. PubMed ID: 24113431
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification.
Shiraishi J; Li Q; Suzuki K; Engelmann R; Doi K
Med Phys; 2006 Jul; 33(7):2642-53. PubMed ID: 16898468
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance.
Schultheiss M; Schmette P; Bodden J; Aichele J; Müller-Leisse C; Gassert FG; Gassert FT; Gawlitza JF; Hofmann FC; Sasse D; von Schacky CE; Ziegelmayer S; De Marco F; Renger B; Makowski MR; Pfeiffer F; Pfeiffer D
Sci Rep; 2021 Aug; 11(1):15857. PubMed ID: 34349135
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Comparison of dual-energy subtraction and electronic bone suppression combined with computer-aided detection on chest radiographs: effect on human observers' performance in nodule detection.
Szucs-Farkas Z; Schick A; Cullmann JL; Ebner L; Megyeri B; Vock P; Christe A
AJR Am J Roentgenol; 2013 May; 200(5):1006-13. PubMed ID: 23617482
[TBL] [Abstract][Full Text] [Related]
17. Lung nodule detection by microdose CT versus chest radiography (standard and dual-energy subtracted).
Ebner L; Bütikofer Y; Ott D; Huber A; Landau J; Roos JE; Heverhagen JT; Christe A
AJR Am J Roentgenol; 2015 Apr; 204(4):727-35. PubMed ID: 25794062
[TBL] [Abstract][Full Text] [Related]
18. Dual energy subtraction digital radiography improves performance of a next generation computer-aided detection program.
Balkman JD; Mehandru S; DuPont E; Novak RD; Gilkeson RC
J Thorac Imaging; 2010 Feb; 25(1):41-7. PubMed ID: 20160602
[TBL] [Abstract][Full Text] [Related]
19. Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.
Zhang R; Tie X; Qi Z; Bevins NB; Zhang C; Griner D; Song TK; Nadig JD; Schiebler ML; Garrett JW; Li K; Reeder SB; Chen GH
Radiology; 2021 Feb; 298(2):E88-E97. PubMed ID: 32969761
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.
Hwang EJ; Lee JS; Lee JH; Lim WH; Kim JH; Choi KS; Choi TW; Kim TH; Goo JM; Park CM
Radiology; 2021 Nov; 301(2):455-463. PubMed ID: 34463551
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
