454 related articles for article (PubMed ID: 28185635)
1. A review of lung cancer screening and the role of computer-aided detection.
Al Mohammad B; Brennan PC; Mello-Thoms C
Clin Radiol; 2017 Jun; 72(6):433-442. PubMed ID: 28185635
[TBL] [Abstract][Full Text] [Related]
2. Predicting Malignancy Risk of Screen-Detected Lung Nodules-Mean Diameter or Volume.
Tammemagi M; Ritchie AJ; Atkar-Khattra S; Dougherty B; Sanghera C; Mayo JR; Yuan R; Manos D; McWilliams AM; Schmidt H; Gingras M; Pasian S; Stewart L; Tsai S; Seely JM; Burrowes P; Bhatia R; Haider EA; Boylan C; Jacobs C; van Ginneken B; Tsao MS; Lam S;
J Thorac Oncol; 2019 Feb; 14(2):203-211. PubMed ID: 30368011
[TBL] [Abstract][Full Text] [Related]
3. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis.
Silva M; Schaefer-Prokop CM; Jacobs C; Capretti G; Ciompi F; van Ginneken B; Pastorino U; Sverzellati N
Invest Radiol; 2018 Aug; 53(8):441-449. PubMed ID: 29543693
[TBL] [Abstract][Full Text] [Related]
4. The Added Value of Computer-aided Detection of Small Pulmonary Nodules and Missed Lung Cancers.
Cai J; Xu D; Liu S; Cham MD
J Thorac Imaging; 2018 Nov; 33(6):390-395. PubMed ID: 30239461
[TBL] [Abstract][Full Text] [Related]
5. Lung cancer screening with CT: evaluation of radiologists and different computer assisted detection software (CAD) as first and second readers for lung nodule detection at different dose levels.
Christe A; Leidolt L; Huber A; Steiger P; Szucs-Farkas Z; Roos JE; Heverhagen JT; Ebner L
Eur J Radiol; 2013 Dec; 82(12):e873-8. PubMed ID: 24074648
[TBL] [Abstract][Full Text] [Related]
6. Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.
Kozuka T; Matsukubo Y; Kadoba T; Oda T; Suzuki A; Hyodo T; Im S; Kaida H; Yagyu Y; Tsurusaki M; Matsuki M; Ishii K
Jpn J Radiol; 2020 Nov; 38(11):1052-1061. PubMed ID: 32592003
[TBL] [Abstract][Full Text] [Related]
7. Nodule size and overdiagnosis in lung cancer CT screening.
Vannier MW
J Natl Cancer Inst; 2014 Nov; 106(11):. PubMed ID: 25326639
[No Abstract] [Full Text] [Related]
8. Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.
Li L; Liu Z; Huang H; Lin M; Luo D
Thorac Cancer; 2019 Feb; 10(2):183-192. PubMed ID: 30536611
[TBL] [Abstract][Full Text] [Related]
9. A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density.
Kobayashi H; Ohkubo M; Narita A; Marasinghe JC; Murao K; Matsumoto T; Sone S; Wada S
Br J Radiol; 2017 Feb; 90(1070):20160313. PubMed ID: 27897029
[TBL] [Abstract][Full Text] [Related]
10. Pulmonary nodules detection assistant platform: An effective computer aided system for early pulmonary nodules detection in physical examination.
Han Y; Qi H; Wang L; Chen C; Miao J; Xu H; Wang Z; Guo Z; Xu Q; Lin Q; Liu H; Lu J; Liang F; Feng W; Li H; Liu Y
Comput Methods Programs Biomed; 2022 Apr; 217():106680. PubMed ID: 35176595
[TBL] [Abstract][Full Text] [Related]
11. Overview of Computer Aided Detection and Computer Aided Diagnosis Systems for Lung Nodule Detection in Computed Tomography.
Ziyad SR; Radha V; Vayyapuri T
Curr Med Imaging Rev; 2020; 16(1):16-26. PubMed ID: 31989890
[TBL] [Abstract][Full Text] [Related]
12. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.
Cui X; Zheng S; Heuvelmans MA; Du Y; Sidorenkov G; Fan S; Li Y; Xie Y; Zhu Z; Dorrius MD; Zhao Y; Veldhuis RNJ; de Bock GH; Oudkerk M; van Ooijen PMA; Vliegenthart R; Ye Z
Eur J Radiol; 2022 Jan; 146():110068. PubMed ID: 34871936
[TBL] [Abstract][Full Text] [Related]
13. Projected outcomes using different nodule sizes to define a positive CT lung cancer screening examination.
Gierada DS; Pinsky P; Nath H; Chiles C; Duan F; Aberle DR
J Natl Cancer Inst; 2014 Nov; 106(11):. PubMed ID: 25326638
[TBL] [Abstract][Full Text] [Related]
14. An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.
Liu JK; Jiang HY; Gao MD; He CG; Wang Y; Wang P; Ma H; Li Y
J Med Syst; 2017 Feb; 41(2):30. PubMed ID: 28032305
[TBL] [Abstract][Full Text] [Related]
15. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance.
Awai K; Murao K; Ozawa A; Komi M; Hayakawa H; Hori S; Nishimura Y
Radiology; 2004 Feb; 230(2):347-52. PubMed ID: 14752180
[TBL] [Abstract][Full Text] [Related]
16. Lung Nodule Manager App Review.
Elovic A; Pourmand A
J Digit Imaging; 2019 Apr; 32(2):201-202. PubMed ID: 30756267
[TBL] [Abstract][Full Text] [Related]
17. Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images.
Jacobs C; van Rikxoort EM; Twellmann T; Scholten ET; de Jong PA; Kuhnigk JM; Oudkerk M; de Koning HJ; Prokop M; Schaefer-Prokop C; van Ginneken B
Med Image Anal; 2014 Feb; 18(2):374-84. PubMed ID: 24434166
[TBL] [Abstract][Full Text] [Related]
18. Screening for lung cancer.
Midthun DE
Clin Chest Med; 2011 Dec; 32(4):659-68. PubMed ID: 22054878
[TBL] [Abstract][Full Text] [Related]
19. Benefit of computer-aided detection analysis for the detection of subsolid and solid lung nodules on thin- and thick-section CT.
Godoy MC; Kim TJ; White CS; Bogoni L; de Groot P; Florin C; Obuchowski N; Babb JS; Salganicoff M; Naidich DP; Anand V; Park S; Vlahos I; Ko JP
AJR Am J Roentgenol; 2013 Jan; 200(1):74-83. PubMed ID: 23255744
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]