152 related articles for article (PubMed ID: 34622882)
21. Extracting Lungs from CT Images via Deep Convolutional Neural Network Based Segmentation and Two-Pass Contour Refinement.
Liu C; Pang M
J Digit Imaging; 2020 Dec; 33(6):1465-1478. PubMed ID: 33057882
[TBL] [Abstract][Full Text] [Related]
22. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
[TBL] [Abstract][Full Text] [Related]
23. Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images.
Rocha J; Cunha A; Mendonça AM
J Med Syst; 2020 Mar; 44(4):81. PubMed ID: 32140870
[TBL] [Abstract][Full Text] [Related]
24. Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images.
Agnes SA
J Med Phys; 2023; 48(2):161-174. PubMed ID: 37576094
[TBL] [Abstract][Full Text] [Related]
25. Res-trans networks for lung nodule classification.
Liu D; Liu F; Tie Y; Qi L; Wang F
Int J Comput Assist Radiol Surg; 2022 Jun; 17(6):1059-1068. PubMed ID: 35290646
[TBL] [Abstract][Full Text] [Related]
26. Automated vessel segmentation in lung CT and CTA images via deep neural networks.
Tan W; Zhou L; Li X; Yang X; Chen Y; Yang J
J Xray Sci Technol; 2021; 29(6):1123-1137. PubMed ID: 34421004
[TBL] [Abstract][Full Text] [Related]
27. Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives.
Krishnamurthy S; Narasimhan G; Rengasamy U
Proc Inst Mech Eng H; 2016 Jan; 230(1):58-70. PubMed ID: 26721427
[TBL] [Abstract][Full Text] [Related]
28. A cascaded dual-pathway residual network for lung nodule segmentation in CT images.
Liu H; Cao H; Song E; Ma G; Xu X; Jin R; Jin Y; Hung CC
Phys Med; 2019 Jul; 63():112-121. PubMed ID: 31221402
[TBL] [Abstract][Full Text] [Related]
29. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
Liu Z; Yuan H; Wang H
Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
[TBL] [Abstract][Full Text] [Related]
30. MS-Net: Learning to assess the malignant status of a lung nodule by a radiologist and her peers.
Dai D; Dong C; Li Z; Xu S
J Appl Clin Med Phys; 2023 Jul; 24(7):e13964. PubMed ID: 36929569
[TBL] [Abstract][Full Text] [Related]
31. Automatic segmentation of lung tumors on CT images based on a 2D & 3D hybrid convolutional neural network.
Gan W; Wang H; Gu H; Duan Y; Shao Y; Chen H; Feng A; Huang Y; Fu X; Ying Y; Quan H; Xu Z
Br J Radiol; 2021 Oct; 94(1126):20210038. PubMed ID: 34347535
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. A Novel Hybrid Feature Extraction Model for Classification on Pulmonary Nodules.
Kailasam SP; Sathik MM
Asian Pac J Cancer Prev; 2019 Feb; 20(2):457-468. PubMed ID: 30803208
[TBL] [Abstract][Full Text] [Related]
34. Automatic pulmonary ground-glass opacity nodules detection and classification based on 3D neural network.
Ma H; Guo H; Zhao M; Qi S; Li H; Tian Y; Li Z; Zhang G; Yao Y; Qian W
Med Phys; 2022 Apr; 49(4):2555-2569. PubMed ID: 35092608
[TBL] [Abstract][Full Text] [Related]
35. Deep Learning-Based CT Imaging in the Diagnosis of Treatment Effect of Pulmonary Nodules and Radiofrequency Ablation.
Zhou C; Zhao X; Zhao L; Liu J; Chen Z; Fang S
Comput Intell Neurosci; 2022; 2022():7326537. PubMed ID: 35996649
[TBL] [Abstract][Full Text] [Related]
36. Effect of segmentation algorithms on the performance of computerized detection of lung nodules in CT.
Guo W; Li Q
Med Phys; 2014 Sep; 41(9):091906. PubMed ID: 25186393
[TBL] [Abstract][Full Text] [Related]
37. Segmentation of lung nodules in computed tomography images using dynamic programming and multidirection fusion techniques.
Wang Q; Song E; Jin R; Han P; Wang X; Zhou Y; Zeng J
Acad Radiol; 2009 Jun; 16(6):678-88. PubMed ID: 19345122
[TBL] [Abstract][Full Text] [Related]
38. A 3D image segmentation for lung cancer using V.Net architecture based deep convolutional networks.
Mohammed KK; Hassanien AE; Afify HM
J Med Eng Technol; 2021 Jul; 45(5):337-343. PubMed ID: 33843414
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]