220 related articles for article (PubMed ID: 36709519)
1. WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network.
Shen Z; Cao P; Yang J; Zaiane OR
Comput Biol Med; 2023 Mar; 154():106587. PubMed ID: 36709519
[TBL] [Abstract][Full Text] [Related]
2. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.
Jacobs C; van Rikxoort EM; Murphy K; Prokop M; Schaefer-Prokop CM; van Ginneken B
Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601
[TBL] [Abstract][Full Text] [Related]
3. Research progress of computer aided diagnosis system for pulmonary nodules in CT images.
Wang Y; Wu B; Zhang N; Liu J; Ren F; Zhao L
J Xray Sci Technol; 2020; 28(1):1-16. PubMed ID: 31815727
[TBL] [Abstract][Full Text] [Related]
4. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
[TBL] [Abstract][Full Text] [Related]
5. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.
Lo SB; Freedman MT; Gillis LB; White CS; Mun SK
AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601
[TBL] [Abstract][Full Text] [Related]
6. Robust explanation supervision for false positive reduction in pulmonary nodule detection.
Zhao Q; Chang CW; Yang X; Zhao L
Med Phys; 2024 Mar; 51(3):1687-1701. PubMed ID: 38224306
[TBL] [Abstract][Full Text] [Related]
7. Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
Zhang S; Sun F; Wang N; Zhang C; Yu Q; Zhang M; Babyn P; Zhong H
J Digit Imaging; 2019 Dec; 32(6):995-1007. PubMed ID: 31044393
[TBL] [Abstract][Full Text] [Related]
8. LGDNet: local feature coupling global representations network for pulmonary nodules detection.
Chi J; Zhao J; Wang S; Yu X; Wu C
Med Biol Eng Comput; 2024 Jul; 62(7):1991-2004. PubMed ID: 38429443
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.
Xie Y; Zhang J; Xia Y
Med Image Anal; 2019 Oct; 57():237-248. PubMed ID: 31352126
[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. 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]
13. 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]
14. Expert knowledge-infused deep learning for automatic lung nodule detection.
Tan J; Huo Y; Liang Z; Li L
J Xray Sci Technol; 2019; 27(1):17-35. PubMed ID: 30452432
[TBL] [Abstract][Full Text] [Related]
15. Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.
Ferreira Junior JR; Oliveira MC; de Azevedo-Marques PM
J Digit Imaging; 2016 Dec; 29(6):716-729. PubMed ID: 27440183
[TBL] [Abstract][Full Text] [Related]
16. An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image.
Halder A; Chatterjee S; Dey D; Kole S; Munshi S
Comput Methods Programs Biomed; 2020 Dec; 197():105720. PubMed ID: 32877818
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.
Huang YS; Wang TC; Huang SZ; Zhang J; Chen HM; Chang YC; Chang RF
Comput Methods Programs Biomed; 2023 Feb; 229():107278. PubMed ID: 36463674
[TBL] [Abstract][Full Text] [Related]
19. A Segmentation Framework of Pulmonary Nodules in Lung CT Images.
Mukhopadhyay S
J Digit Imaging; 2016 Feb; 29(1):86-103. PubMed ID: 26055544
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
