254 related articles for article (PubMed ID: 34449037)
41. Automatic classification of lung nodule candidates based on a novel 3D convolution network and knowledge transferred from a 2D network.
Zuo W; Zhou F; He Y; Li X
Med Phys; 2019 Dec; 46(12):5499-5513. PubMed ID: 31621916
[TBL] [Abstract][Full Text] [Related]
42. A bilinear convolutional neural network for lung nodules classification on CT images.
Mastouri R; Khlifa N; Neji H; Hantous-Zannad S
Int J Comput Assist Radiol Surg; 2021 Jan; 16(1):91-101. PubMed ID: 33140257
[TBL] [Abstract][Full Text] [Related]
43. Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss.
Tran GS; Nghiem TP; Nguyen VT; Luong CM; Burie JC
J Healthc Eng; 2019; 2019():5156416. PubMed ID: 30863524
[TBL] [Abstract][Full Text] [Related]
44. 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]
45. S-Net: an S-shaped network for nodule detection in 3D CT images.
Zhang J; Zou W; Hu N; Zhang B; Wang J
Phys Med Biol; 2024 Apr; 69(7):. PubMed ID: 38382097
[No Abstract] [Full Text] [Related]
46. 3D ARCNN: An Asymmetric Residual CNN for False Positive Reduction in Pulmonary Nodule.
Liu B; Song H; Li Q; Lin Y; Weng X; Su Z; Yang J
IEEE Trans Nanobioscience; 2024 Jan; 23(1):18-25. PubMed ID: 37216265
[TBL] [Abstract][Full Text] [Related]
47. 3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT.
Pezeshk A; Hamidian S; Petrick N; Sahiner B
IEEE J Biomed Health Inform; 2019 Sep; 23(5):2080-2090. PubMed ID: 30418929
[TBL] [Abstract][Full Text] [Related]
48. Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
Setio AA; Ciompi F; Litjens G; Gerke P; Jacobs C; van Riel SJ; Wille MM; Naqibullah M; Sanchez CI; van Ginneken B
IEEE Trans Med Imaging; 2016 May; 35(5):1160-1169. PubMed ID: 26955024
[TBL] [Abstract][Full Text] [Related]
49. Multiscale self-calibrated pulmonary nodule detection network fusing dual attention mechanism.
Zhu Y; Xu L; Liu Y; Guo P; Zhang J
Phys Med Biol; 2023 Aug; 68(16):. PubMed ID: 37451250
[No Abstract] [Full Text] [Related]
50. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.
Way TW; Hadjiiski LM; Sahiner B; Chan HP; Cascade PN; Kazerooni EA; Bogot N; Zhou C
Med Phys; 2006 Jul; 33(7):2323-37. PubMed ID: 16898434
[TBL] [Abstract][Full Text] [Related]
51. 3D deep learning for detecting pulmonary nodules in CT scans.
Gruetzemacher R; Gupta A; Paradice D
J Am Med Inform Assoc; 2018 Oct; 25(10):1301-1310. PubMed ID: 30137371
[TBL] [Abstract][Full Text] [Related]
52. 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]
53. PUNDIT: Pulmonary nodule detection with image category transformation.
Zhao W; Ma J; Zhao L; Hou R; Qiu L; Fu X; Zhao J
Med Phys; 2023 May; 50(5):2914-2927. PubMed ID: 36576169
[TBL] [Abstract][Full Text] [Related]
54. Identification of pulmonary nodules via CT images with hierarchical fully convolutional networks.
Chen G; Zhang J; Zhuo D; Pan Y; Pang C
Med Biol Eng Comput; 2019 Jul; 57(7):1567-1580. PubMed ID: 31025248
[TBL] [Abstract][Full Text] [Related]
55. Cross attention guided multi-scale feature fusion for false-positive reduction in pulmonary nodule detection.
Gu Z; Li Y; Luo H; Zhang C; Du H
Comput Biol Med; 2022 Dec; 151(Pt A):106302. PubMed ID: 36401972
[TBL] [Abstract][Full Text] [Related]
56. 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]
57. 3D skeletonization feature based computer-aided detection system for pulmonary nodules in CT datasets.
Zhang W; Wang X; Li X; Chen J
Comput Biol Med; 2018 Jan; 92():64-72. PubMed ID: 29154123
[TBL] [Abstract][Full Text] [Related]
58. A Two-Stage Convolutional Neural Networks for Lung Nodule Detection.
Cao H; Liu H; Song E; Ma G; Xu X; Jin R; Liu T; Hung CC
IEEE J Biomed Health Inform; 2020 Jul; 24(7):2006-2015. PubMed ID: 31905154
[TBL] [Abstract][Full Text] [Related]
59. 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]
60. 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]
[Previous] [Next] [New Search]
