213 related articles for article (PubMed ID: 35047057)
1. Design Computer-Aided Diagnosis System Based on Chest CT Evaluation of Pulmonary Nodules.
Wang H; Li Y; Liu S; Yue X
Comput Math Methods Med; 2022; 2022():7729524. PubMed ID: 35047057
[TBL] [Abstract][Full Text] [Related]
2. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. 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]
6. Lung nodule pre-diagnosis and insertion path planning for chest CT images.
Xie RL; Wang Y; Zhao YN; Zhang J; Chen GB; Fei J; Fu Z
BMC Med Imaging; 2023 Feb; 23(1):22. PubMed ID: 36737717
[TBL] [Abstract][Full Text] [Related]
7. Segmentation of pulmonary nodules in CT images based on 3D-UNET combined with three-dimensional conditional random field optimization.
Wu W; Gao L; Duan H; Huang G; Ye X; Nie S
Med Phys; 2020 Sep; 47(9):4054-4063. PubMed ID: 32428969
[TBL] [Abstract][Full Text] [Related]
8. Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images.
Chen B; Kitasaka T; Honma H; Takabatake H; Mori M; Natori H; Mori K
Int J Comput Assist Radiol Surg; 2012 May; 7(3):465-82. PubMed ID: 21739111
[TBL] [Abstract][Full Text] [Related]
9. Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.
Eun H; Kim D; Jung C; Kim C
Comput Methods Programs Biomed; 2018 Oct; 165():215-224. PubMed ID: 30337076
[TBL] [Abstract][Full Text] [Related]
10. Adhesion Pulmonary Nodules Detection Based on Dot-Filter and Extracting Centerline Algorithm.
Liu L; Wang X; Li Y; Wang L; Dong J
Comput Math Methods Med; 2015; 2015():597313. PubMed ID: 26089968
[TBL] [Abstract][Full Text] [Related]
11. Potential lung nodules identification for characterization by variable multistep threshold and shape indices from CT images.
Iqbal S; Iqbal K; Arif F; Shaukat A; Khanum A
Comput Math Methods Med; 2014; 2014():241647. PubMed ID: 25506388
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Pulmonary Nodule Detection Based on Multiscale Feature Fusion.
Zhao Y; Wang Z; Liu X; Chen Q; Li C; Zhao H; Wang Z
Comput Math Methods Med; 2022; 2022():8903037. PubMed ID: 36590762
[TBL] [Abstract][Full Text] [Related]
14. Incorporation of a computer-aided vessel-suppression system to detect lung nodules in CT images: effect on sensitivity and reading time in routine clinical settings.
Takaishi T; Ozawa Y; Bando Y; Yamamoto A; Okochi S; Suzuki H; Shibamoto Y
Jpn J Radiol; 2021 Feb; 39(2):159-164. PubMed ID: 32940850
[TBL] [Abstract][Full Text] [Related]
15. Application of high-resolution CT images information in complicated infection of lung tumors.
Liu S; Liu H; Li P; Jiang L
J Infect Public Health; 2021 Mar; 14(3):418-422. PubMed ID: 31451402
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. [The performance of digital chest radiographs in the detection and diagnosis of pulmonary nodules and the consistency among readers].
Liang M; Zhao SJ; Zhou LN; Xu XJ; Wang YW; Niu L; Wang HH; Tang W; Wu N
Zhonghua Zhong Liu Za Zhi; 2023 Mar; 45(3):265-272. PubMed ID: 36944548
[No Abstract] [Full Text] [Related]
19. Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.
Madero Orozco H; Vergara Villegas OO; Cruz Sánchez VG; Ochoa DomÃnguez Hde J; Nandayapa Alfaro Mde J
Biomed Eng Online; 2015 Feb; 14():9. PubMed ID: 25888834
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
