252 related articles for article (PubMed ID: 28715341)
1. An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network.
Jiang H; Ma H; Qian W; Gao M; Li Y; Hongyang Jiang ; He Ma ; Wei Qian ; Mengdi Gao ; Yan Li
IEEE J Biomed Health Inform; 2018 Jul; 22(4):1227-1237. PubMed ID: 28715341
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. High performance lung nodule detection schemes in CT using local and global information.
Guo W; Li Q
Med Phys; 2012 Aug; 39(8):5157-68. PubMed ID: 22894441
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Two-stage lung nodule detection framework using enhanced UNet and convolutional LSTM networks in CT images.
Akila Agnes S; Anitha J; Arun Solomon A
Comput Biol Med; 2022 Oct; 149():106059. PubMed ID: 36087510
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Computerized detection of lung nodules by means of "virtual dual-energy" radiography.
Chen S; Suzuki K
IEEE Trans Biomed Eng; 2013 Feb; 60(2):369-78. PubMed ID: 23193306
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening.
Arimura H; Katsuragawa S; Suzuki K; Li F; Shiraishi J; Sone S; Doi K
Acad Radiol; 2004 Jun; 11(6):617-29. PubMed ID: 15172364
[TBL] [Abstract][Full Text] [Related]
12. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.
Cascio D; Magro R; Fauci F; Iacomi M; Raso G
Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972
[TBL] [Abstract][Full Text] [Related]
13. Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection.
Li X; Shen L; Xie X; Huang S; Xie Z; Hong X; Yu J
Artif Intell Med; 2020 Mar; 103():101744. PubMed ID: 31732411
[TBL] [Abstract][Full Text] [Related]
14. Fast and adaptive detection of pulmonary nodules in thoracic CT images using a hierarchical vector quantization scheme.
Han H; Li L; Han F; Song B; Moore W; Liang Z
IEEE J Biomed Health Inform; 2015 Mar; 19(2):648-59. PubMed ID: 25486657
[TBL] [Abstract][Full Text] [Related]
15. One-stage pulmonary nodule detection using 3-D DCNN with feature fusion and attention mechanism in CT image.
Huang YS; Chou PR; Chen HM; Chang YC; Chang RF
Comput Methods Programs Biomed; 2022 Jun; 220():106786. PubMed ID: 35398579
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.
Mastouri R; Khlifa N; Neji H; Hantous-Zannad S
J Xray Sci Technol; 2020; 28(4):591-617. PubMed ID: 32568165
[TBL] [Abstract][Full Text] [Related]
17. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
[TBL] [Abstract][Full Text] [Related]
18. Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection.
Chen S; Han Y; Lin J; Zhao X; Kong P
Artif Intell Med; 2020 Jul; 107():101881. PubMed ID: 32828440
[TBL] [Abstract][Full Text] [Related]
19. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Setio AAA; Traverso A; de Bel T; Berens MSN; Bogaard CVD; Cerello P; Chen H; Dou Q; Fantacci ME; Geurts B; Gugten RV; Heng PA; Jansen B; de Kaste MMJ; Kotov V; Lin JY; Manders JTMC; Sóñora-Mengana A; García-Naranjo JC; Papavasileiou E; Prokop M; Saletta M; Schaefer-Prokop CM; Scholten ET; Scholten L; Snoeren MM; Torres EL; Vandemeulebroucke J; Walasek N; Zuidhof GCA; Ginneken BV; Jacobs C
Med Image Anal; 2017 Dec; 42():1-13. PubMed ID: 28732268
[TBL] [Abstract][Full Text] [Related]
20. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.
Messay T; Hardie RC; Rogers SK
Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]