172 related articles for article (PubMed ID: 36156972)
21. Differentiation of malignant and benign pulmonary nodules with quantitative first-pass 320-detector row perfusion CT versus FDG PET/CT.
Ohno Y; Koyama H; Matsumoto K; Onishi Y; Takenaka D; Fujisawa Y; Yoshikawa T; Konishi M; Maniwa Y; Nishimura Y; Ito T; Sugimura K
Radiology; 2011 Feb; 258(2):599-609. PubMed ID: 21273522
[TBL] [Abstract][Full Text] [Related]
22. An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.
Alilou M; Beig N; Orooji M; Rajiah P; Velcheti V; Rakshit S; Reddy N; Yang M; Jacono F; Gilkeson RC; Linden P; Madabhushi A
Med Phys; 2017 Jul; 44(7):3556-3569. PubMed ID: 28295386
[TBL] [Abstract][Full Text] [Related]
23. Classification and Segmentation Algorithm in Benign and Malignant Pulmonary Nodules under Different CT Reconstruction.
Lu Z; Long F; He X
Comput Math Methods Med; 2022; 2022():3490463. PubMed ID: 35495882
[TBL] [Abstract][Full Text] [Related]
24. Do characteristics of pulmonary nodules on computed tomography in children with known osteosarcoma help distinguish whether the nodules are malignant or benign?
Brader P; Abramson SJ; Price AP; Ishill NM; Emily ZC; Moskowitz CS; La Quaglia MP; Ginsberg MS
J Pediatr Surg; 2011 Apr; 46(4):729-735. PubMed ID: 21496545
[TBL] [Abstract][Full Text] [Related]
25. Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction.
Lee MC; Boroczky L; Sungur-Stasik K; Cann AD; Borczuk AC; Kawut SM; Powell CA
Artif Intell Med; 2010 Sep; 50(1):43-53. PubMed ID: 20570118
[TBL] [Abstract][Full Text] [Related]
26. Construction of U-Net++ pulmonary nodule intelligent analysis model based on feature weighted aggregation.
Yang D; Du J; Liu K; Sui Y; Wang J; Gai X
Technol Health Care; 2023; 31(S1):477-486. PubMed ID: 37066943
[TBL] [Abstract][Full Text] [Related]
27. Pulmonary nodules: a quantitative method of diagnosis by evaluating nodule perimeter difference to approximate oval using three-dimensional CT images.
Kamiya H; Murayama S; Kakinohana Y; Miyara T
Clin Imaging; 2011; 35(2):123-6. PubMed ID: 21377050
[TBL] [Abstract][Full Text] [Related]
28. Differential diagnosis of solitary pulmonary nodules with dual-source spiral computed tomography.
Shi Z; Wang Y; He X
Exp Ther Med; 2016 Sep; 12(3):1750-1754. PubMed ID: 27588092
[TBL] [Abstract][Full Text] [Related]
29. 3D gray density coding feature for benign-malignant pulmonary nodule classification on chest CT.
Zheng B; Yang D; Zhu Y; Liu Y; Hu J; Bai C
Med Phys; 2021 Dec; 48(12):7826-7836. PubMed ID: 34655238
[TBL] [Abstract][Full Text] [Related]
30. Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans.
Sofka M; Stewart CV
Med Image Anal; 2010 Jun; 14(3):407-28. PubMed ID: 20363173
[TBL] [Abstract][Full Text] [Related]
31. Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules.
Yang H; Chen H; Zhang G; Li H; Ni R; Yu Y; Zhang Y; Wu Y; Liu H
BMC Cancer; 2022 Apr; 22(1):382. PubMed ID: 35397524
[TBL] [Abstract][Full Text] [Related]
32. [Advances and Clinical Application of Malignant Probability Prediction Models for
Solitary Pulmonary Nodule].
Wang Z; Zhao J; Wang M
Zhongguo Fei Ai Za Zhi; 2021 Sep; 24(9):660-667. PubMed ID: 34455736
[TBL] [Abstract][Full Text] [Related]
33. Vasculature surrounding a nodule: A novel lung cancer biomarker.
Wang X; Leader JK; Wang R; Wilson D; Herman J; Yuan JM; Pu J
Lung Cancer; 2017 Dec; 114():38-43. PubMed ID: 29173763
[TBL] [Abstract][Full Text] [Related]
34. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
35. A pilot study using low-dose Spectral CT and ASIR (Adaptive Statistical Iterative Reconstruction) algorithm to diagnose solitary pulmonary nodules.
Xiao H; Liu Y; Tan H; Liang P; Wang B; Su L; Wang S; Gao J
BMC Med Imaging; 2015 Nov; 15():54. PubMed ID: 26576676
[TBL] [Abstract][Full Text] [Related]
36. Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems.
Qiu S; Sun J; Zhou T; Gao G; He Z; Liang T
Biomed Res Int; 2020; 2020():6619076. PubMed ID: 33426059
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. [Novel Pulmonary Nodule Position Detection Method Based on Multiscale Convolution].
Wu M; Du Q; Guo Y
Zhongguo Yi Liao Qi Xie Za Zhi; 2023 Jul; 47(4):402-405. PubMed ID: 37580290
[TBL] [Abstract][Full Text] [Related]
39. [Value of CT Features on Differential Diagnosis of Pulmonary Subsolid Nodules and Degree of invasion Prediction in Pulmonary Adenocarcinoma].
Guo F; Li X; Wang X; Zheng W; Wang Q; Song W; Yu T; Fan Y; Wang Y
Zhongguo Fei Ai Za Zhi; 2018 Jun; 21(6):451-457. PubMed ID: 29945703
[TBL] [Abstract][Full Text] [Related]
40. Distinguishing benign from malignant pulmonary nodules by computed tomography.
Godwin JD; Speckman JM; Fram EK; Johnson GA; Putman CE; Korobkin M; Breiman RS
Radiology; 1982 Jul; 144(2):349-51. PubMed ID: 7089288
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
