169 related articles for article (PubMed ID: 36828962)
1. Classification of Histological Types and Stages in Non-small Cell Lung Cancer Using Radiomic Features Based on CT Images.
Lin J; Yu Y; Zhang X; Wang Z; Li S
J Digit Imaging; 2023 Jun; 36(3):1029-1037. PubMed ID: 36828962
[TBL] [Abstract][Full Text] [Related]
2. Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features.
Bashir U; Kawa B; Siddique M; Mak SM; Nair A; Mclean E; Bille A; Goh V; Cook G
Br J Radiol; 2019 Jul; 92(1099):20190159. PubMed ID: 31166787
[TBL] [Abstract][Full Text] [Related]
3. Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer.
Zhu X; Dong D; Chen Z; Fang M; Zhang L; Song J; Yu D; Zang Y; Liu Z; Shi J; Tian J
Eur Radiol; 2018 Jul; 28(7):2772-2778. PubMed ID: 29450713
[TBL] [Abstract][Full Text] [Related]
4. Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography.
E L; Lu L; Li L; Yang H; Schwartz LH; Zhao B
Acad Radiol; 2019 Sep; 26(9):1245-1252. PubMed ID: 30502076
[TBL] [Abstract][Full Text] [Related]
5. Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
Coroller TP; Agrawal V; Huynh E; Narayan V; Lee SW; Mak RH; Aerts HJWL
J Thorac Oncol; 2017 Mar; 12(3):467-476. PubMed ID: 27903462
[TBL] [Abstract][Full Text] [Related]
6. Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
BMC Med Imaging; 2020 Feb; 20(1):12. PubMed ID: 32024469
[TBL] [Abstract][Full Text] [Related]
7. Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis.
Haga A; Takahashi W; Aoki S; Nawa K; Yamashita H; Abe O; Nakagawa K
Radiol Phys Technol; 2018 Mar; 11(1):27-35. PubMed ID: 29209915
[TBL] [Abstract][Full Text] [Related]
8. Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.
Song F; Song X; Feng Y; Fan G; Sun Y; Zhang P; Li J; Liu F; Zhang G
Med Phys; 2023 Jul; 50(7):4351-4365. PubMed ID: 36682051
[TBL] [Abstract][Full Text] [Related]
9. CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer.
Wang J; Wang J; Huang X; Zhou Y; Qi J; Sun X; Nie J; Hu Z; Wang S; Hong B; Wang H
BMC Med Imaging; 2024 Feb; 24(1):45. PubMed ID: 38360550
[TBL] [Abstract][Full Text] [Related]
10. Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans.
Khorrami M; Bera K; Thawani R; Rajiah P; Gupta A; Fu P; Linden P; Pennell N; Jacono F; Gilkeson RC; Velcheti V; Madabhushi A
Eur J Cancer; 2021 May; 148():146-158. PubMed ID: 33743483
[TBL] [Abstract][Full Text] [Related]
11. Multi-subtype classification model for non-small cell lung cancer based on radiomics: SLS model.
Liu J; Cui J; Liu F; Yuan Y; Guo F; Zhang G
Med Phys; 2019 Jul; 46(7):3091-3100. PubMed ID: 31002395
[TBL] [Abstract][Full Text] [Related]
12. Histologic subtype classification of non-small cell lung cancer using PET/CT images.
Han Y; Ma Y; Wu Z; Zhang F; Zheng D; Liu X; Tao L; Liang Z; Yang Z; Li X; Huang J; Guo X
Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):350-360. PubMed ID: 32776232
[TBL] [Abstract][Full Text] [Related]
13. Dual-Centre Harmonised Multimodal Positron Emission Tomography/Computed Tomography Image Radiomic Features and Machine Learning Algorithms for Non-small Cell Lung Cancer Histopathological Subtype Phenotype Decoding.
Khodabakhshi Z; Amini M; Hajianfar G; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2023 Nov; 35(11):713-725. PubMed ID: 37599160
[TBL] [Abstract][Full Text] [Related]
14. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
[TBL] [Abstract][Full Text] [Related]
15. Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.
Yu L; Tao G; Zhu L; Wang G; Li Z; Ye J; Chen Q
BMC Cancer; 2019 May; 19(1):464. PubMed ID: 31101024
[TBL] [Abstract][Full Text] [Related]
16. Standardized 18F-FDG PET/CT radiomic features provide information on PD-L1 expression status in treatment-naïve patients with non-small cell lung cancer.
Zhang R; Hohenforst-Schmidt W; Steppert C; Sziklavari Z; Schmidkonz C; Atzinger A; Kuwert T; Klink T; Sterlacci W; Hartmann A; Vieth M; Förster S
Nuklearmedizin; 2022 Oct; 61(5):385-393. PubMed ID: 35768005
[TBL] [Abstract][Full Text] [Related]
17. A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.
Hyun SH; Ahn MS; Koh YW; Lee SJ
Clin Nucl Med; 2019 Dec; 44(12):956-960. PubMed ID: 31689276
[TBL] [Abstract][Full Text] [Related]
18. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
19. External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.
Jha AK; Sherkhane UB; Mthun S; Jaiswar V; Purandare N; Prabhash K; Wee L; Rangarajan V; Dekker A
J Digit Imaging; 2023 Dec; 36(6):2519-2531. PubMed ID: 37735307
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
