268 related articles for article (PubMed ID: 32296645)
21. Development and validation of an interpretable delta radiomics-based model for predicting invasive ground-glass nodules in lung adenocarcinoma: a retrospective cohort study.
Xue T; Zhu L; Tao Y; Ye X; Yu H
Quant Imaging Med Surg; 2024 Jun; 14(6):4086-4097. PubMed ID: 38846292
[TBL] [Abstract][Full Text] [Related]
22. Tumor invasiveness as defined by the newly proposed IASLC/ATS/ERS classification has prognostic significance for pathologic stage IA lung adenocarcinoma and can be predicted by radiologic parameters.
Takahashi M; Shigematsu Y; Ohta M; Tokumasu H; Matsukura T; Hirai T
J Thorac Cardiovasc Surg; 2014 Jan; 147(1):54-9. PubMed ID: 24131786
[TBL] [Abstract][Full Text] [Related]
23. [Prediction of Pathological Subtypes of Lung Adenocarcinoma with Pure Ground Glass Nodules by Deep Learning Model].
Tao XM; Fang R; Wu CC; Zhang C; Zhang RG; Yu PX; Zhao SH
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2020 Aug; 42(4):477-484. PubMed ID: 32895099
[No Abstract] [Full Text] [Related]
24. Development of a deep learning-based method to diagnose pulmonary ground-glass nodules by sequential computed tomography imaging.
Qiu Z; Wu Q; Wang S; Chen Z; Lin F; Zhou Y; Jin J; Xian J; Tian J; Li W
Thorac Cancer; 2022 Feb; 13(4):602-612. PubMed ID: 34994091
[TBL] [Abstract][Full Text] [Related]
25. Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images.
Su Y; Xia X; Sun R; Yuan J; Hua Q; Han B; Gong J; Nie S
J Imaging Inform Med; 2024 Jun; ():. PubMed ID: 38861071
[TBL] [Abstract][Full Text] [Related]
26. Deep learning-enhanced radiomics for histologic classification and grade stratification of stage IA lung adenocarcinoma: a multicenter study.
Pei G; Wang D; Sun K; Yang Y; Tang W; Sun Y; Yin S; Liu Q; Wang S; Huang Y
Front Oncol; 2023; 13():1224455. PubMed ID: 37546407
[TBL] [Abstract][Full Text] [Related]
27. Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules.
Meng F; Guo Y; Li M; Lu X; Wang S; Zhang L; Zhang H
Transl Oncol; 2021 Jan; 14(1):100936. PubMed ID: 33221688
[TBL] [Abstract][Full Text] [Related]
28. Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule.
Fan L; Fang M; Li Z; Tu W; Wang S; Chen W; Tian J; Dong D; Liu S
Eur Radiol; 2019 Feb; 29(2):889-897. PubMed ID: 29967956
[TBL] [Abstract][Full Text] [Related]
29. The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.
She Y; Zhang L; Zhu H; Dai C; Xie D; Xie H; Zhang W; Zhao L; Zou L; Fei K; Sun X; Chen C
Eur Radiol; 2018 Dec; 28(12):5121-5128. PubMed ID: 29869172
[TBL] [Abstract][Full Text] [Related]
30. Joint use of the radiomics method and frozen sections should be considered in the prediction of the final classification of peripheral lung adenocarcinoma manifesting as ground-glass nodules.
Wang B; Tang Y; Chen Y; Hamal P; Zhu Y; Wang T; Sun Y; Lu Y; Bhuva MS; Meng X; Yang Y; Ai Z; Wu C; Sun X
Lung Cancer; 2020 Jan; 139():103-110. PubMed ID: 31760351
[TBL] [Abstract][Full Text] [Related]
31. Lung Cancer and Granuloma Identification Using a Deep Learning Model to Extract 3-Dimensional Radiomics Features in CT Imaging.
Lin X; Jiao H; Pang Z; Chen H; Wu W; Wang X; Xiong L; Chen B; Huang Y; Li S; Li L
Clin Lung Cancer; 2021 Sep; 22(5):e756-e766. PubMed ID: 33678583
[TBL] [Abstract][Full Text] [Related]
32. Dual-energy CT-based radiomics for predicting invasiveness of lung adenocarcinoma appearing as ground-glass nodules.
Zheng Y; Han X; Jia X; Ding C; Zhang K; Li H; Cao X; Zhang X; Zhang X; Shi H
Front Oncol; 2023; 13():1208758. PubMed ID: 37637058
[TBL] [Abstract][Full Text] [Related]
33. Artificial intelligence system-based histogram analysis of computed tomography features to predict tumor invasiveness of ground-glass nodules.
Zhang H; Wang D; Li W; Tian Z; Ma L; Guo J; Wang Y; Sun X; Ma X; Ma L; Zhu L
Quant Imaging Med Surg; 2023 Sep; 13(9):5783-5795. PubMed ID: 37711837
[TBL] [Abstract][Full Text] [Related]
34. Solitary ground-glass opacity nodules of stage IA pulmonary adenocarcinoma: combination of 18F-FDG PET/CT and high-resolution computed tomography features to predict invasive adenocarcinoma.
Zhou J; Li Y; Zhang Y; Liu G; Tan H; Hu Y; Xiao J; Shi H
Oncotarget; 2017 Apr; 8(14):23312-23321. PubMed ID: 28423576
[TBL] [Abstract][Full Text] [Related]
35. A Comparison of Computer-Aided Diagnosis Schemes Optimized Using Radiomics and Deep Transfer Learning Methods.
Danala G; Maryada SK; Islam W; Faiz R; Jones M; Qiu Y; Zheng B
Bioengineering (Basel); 2022 Jun; 9(6):. PubMed ID: 35735499
[TBL] [Abstract][Full Text] [Related]
36. CT-Imaging Based Analysis of Invasive Lung Adenocarcinoma Presenting as Ground Glass Nodules Using Peri- and Intra-nodular Radiomic Features.
Wu L; Gao C; Xiang P; Zheng S; Pang P; Xu M
Front Oncol; 2020; 10():838. PubMed ID: 32537436
[No Abstract] [Full Text] [Related]
37. How Does the Delta-Radiomics Better Differentiate Pre-Invasive GGNs From Invasive GGNs?
Ma Y; Ma W; Xu X; Cao F
Front Oncol; 2020; 10():1017. PubMed ID: 32766129
[No Abstract] [Full Text] [Related]
38. Lung Adenocarcinoma Invasiveness Risk in Pure Ground-Glass Opacity Lung Nodules Smaller than 2 cm.
Lee GD; Park CH; Park HS; Byun MK; Lee IJ; Kim TH; Lee S
Thorac Cardiovasc Surg; 2019 Jun; 67(4):321-328. PubMed ID: 29359309
[TBL] [Abstract][Full Text] [Related]
39. Can texture features improve the differentiation of infiltrative lung adenocarcinoma appearing as ground glass nodules in contrast-enhanced CT?
Gao C; Xiang P; Ye J; Pang P; Wang S; Xu M
Eur J Radiol; 2019 Aug; 117():126-131. PubMed ID: 31307637
[TBL] [Abstract][Full Text] [Related]
40. Predictive Efficacy of a Radiomics Random Forest Model for Identifying Pathological Subtypes of Lung Adenocarcinoma Presenting as Ground-Glass Nodules.
Zhao FH; Fan HJ; Shan KF; Zhou L; Pang ZZ; Fu CL; Yang ZB; Wu MK; Sun JH; Yang XM; Huang ZH
Front Oncol; 2022; 12():872503. PubMed ID: 35646675
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
