174 related articles for article (PubMed ID: 36502546)
1. The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.
Guo Q; Wang C; Guo J; Bai H; Xu X; Yang L; Wang J; Chen N; Wang Z; Gan Y; Liu L; Li W; Yi Z
Comput Methods Programs Biomed; 2023 Feb; 229():107290. PubMed ID: 36502546
[TBL] [Abstract][Full Text] [Related]
2. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
Zheng S; Guo J; Cui X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification.
Zheng S; Cornelissen LJ; Cui X; Jing X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
Med Phys; 2021 Feb; 48(2):733-744. PubMed ID: 33300162
[TBL] [Abstract][Full Text] [Related]
5. Pulmonary nodule detection in CT scans with equivariant CNNs.
Winkels M; Cohen TS
Med Image Anal; 2019 Jul; 55():15-26. PubMed ID: 31003034
[TBL] [Abstract][Full Text] [Related]
6. Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.
Wang Q; Shen F; Shen L; Huang J; Sheng W
J Digit Imaging; 2019 Dec; 32(6):971-979. PubMed ID: 31062113
[TBL] [Abstract][Full Text] [Related]
7. Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.
Hardie RC; Trout AT; Dillman JR; Narayanan BN; Tanimoto AA
AJR Am J Roentgenol; 2024 Feb; 222(2):e2330345. PubMed ID: 37991333
[No Abstract] [Full Text] [Related]
8. Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage.
Zheng S; Cui X; Vonder M; Veldhuis RNJ; Ye Z; Vliegenthart R; Oudkerk M; van Ooijen PMA
Comput Methods Programs Biomed; 2020 Nov; 196():105620. PubMed ID: 32615493
[TBL] [Abstract][Full Text] [Related]
9. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network.
Suzuki K; Li F; Sone S; Doi K
IEEE Trans Med Imaging; 2005 Sep; 24(9):1138-50. PubMed ID: 16156352
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.
Gu Y; Lu X; Yang L; Zhang B; Yu D; Zhao Y; Gao L; Wu L; Zhou T
Comput Biol Med; 2018 Dec; 103():220-231. PubMed ID: 30390571
[TBL] [Abstract][Full Text] [Related]
12. Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier.
Ahmadyar Y; Kamali-Asl A; Arabi H; Samimi R; Zaidi H
Radiol Phys Technol; 2024 Mar; 17(1):124-134. PubMed ID: 37980315
[TBL] [Abstract][Full Text] [Related]
13. The effect of pulmonary vessel suppression on computerized detection of nodules in chest CT scans.
Gu X; Xie W; Fang Q; Zhao J; Li Q
Med Phys; 2020 Oct; 47(10):4917-4927. PubMed ID: 32681587
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1).
Armato SG; Roy AS; Macmahon H; Li F; Doi K; Sone S; Altman MB
Acad Radiol; 2005 Mar; 12(3):337-46. PubMed ID: 15766694
[TBL] [Abstract][Full Text] [Related]
15. A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD).
Suzuki K
Phys Med Biol; 2009 Sep; 54(18):S31-45. PubMed ID: 19687563
[TBL] [Abstract][Full Text] [Related]
16. Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography.
Suzuki K; Armato SG; Li F; Sone S; Doi K
Med Phys; 2003 Jul; 30(7):1602-17. PubMed ID: 12906178
[TBL] [Abstract][Full Text] [Related]
17. Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.
Li Q; Li F; Doi K
Acad Radiol; 2008 Feb; 15(2):165-75. PubMed ID: 18206615
[TBL] [Abstract][Full Text] [Related]
18. A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data.
Xiao Y; Wang X; Li Q; Fan R; Chen R; Shao Y; Chen Y; Gao Y; Liu A; Chen L; Liu S
Comput Med Imaging Graph; 2021 Jun; 90():101889. PubMed ID: 33848755
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]