444 related articles for article (PubMed ID: 30286184)
1. Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer.
Owens CA; Peterson CB; Tang C; Koay EJ; Yu W; Mackin DS; Li J; Salehpour MR; Fuentes DT; Court LE; Yang J
PLoS One; 2018; 13(10):e0205003. PubMed ID: 30286184
[TBL] [Abstract][Full Text] [Related]
2. Robust Radiomics feature quantification using semiautomatic volumetric segmentation.
Parmar C; Rios Velazquez E; Leijenaar R; Jermoumi M; Carvalho S; Mak RH; Mitra S; Shankar BU; Kikinis R; Haibe-Kains B; Lambin P; Aerts HJ
PLoS One; 2014; 9(7):e102107. PubMed ID: 25025374
[TBL] [Abstract][Full Text] [Related]
3. Assessment of liver metastases radiomic feature reproducibility with deep-learning-based semi-automatic segmentation software.
Wang L; Tan J; Ge Y; Tao X; Cui Z; Fei Z; Lu J; Zhang H; Pan Z
Acta Radiol; 2021 Mar; 62(3):291-301. PubMed ID: 32517533
[TBL] [Abstract][Full Text] [Related]
4. Influence of inter-observer delineation variability on radiomics stability in different tumor sites.
Pavic M; Bogowicz M; Würms X; Glatz S; Finazzi T; Riesterer O; Roesch J; Rudofsky L; Friess M; Veit-Haibach P; Huellner M; Opitz I; Weder W; Frauenfelder T; Guckenberger M; Tanadini-Lang S
Acta Oncol; 2018 Aug; 57(8):1070-1074. PubMed ID: 29513054
[TBL] [Abstract][Full Text] [Related]
5. Assessment of Variabilities in Lung-Contouring Methods on CBCT Preclinical Radiomics Outputs.
Brown KH; Illyuk J; Ghita M; Walls GM; McGarry CK; Butterworth KT
Cancers (Basel); 2023 May; 15(10):. PubMed ID: 37345013
[TBL] [Abstract][Full Text] [Related]
6. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
[TBL] [Abstract][Full Text] [Related]
7. Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability.
Leijenaar RT; Carvalho S; Velazquez ER; van Elmpt WJ; Parmar C; Hoekstra OS; Hoekstra CJ; Boellaard R; Dekker AL; Gillies RJ; Aerts HJ; Lambin P
Acta Oncol; 2013 Oct; 52(7):1391-7. PubMed ID: 24047337
[TBL] [Abstract][Full Text] [Related]
8. Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.
Lee M; Woo B; Kuo MD; Jamshidi N; Kim JH
Korean J Radiol; 2017; 18(3):498-509. PubMed ID: 28458602
[TBL] [Abstract][Full Text] [Related]
9. Reproducibility and non-redundancy of radiomic features extracted from arterial phase CT scans in hepatocellular carcinoma patients: impact of tumor segmentation variability.
Qiu Q; Duan J; Duan Z; Meng X; Ma C; Zhu J; Lu J; Liu T; Yin Y
Quant Imaging Med Surg; 2019 Mar; 9(3):453-464. PubMed ID: 31032192
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of a Semi-automatic Right Ventricle Segmentation Method on Short-Axis MR Images.
Yilmaz P; Wallecan K; Kristanto W; Aben JP; Moelker A
J Digit Imaging; 2018 Oct; 31(5):670-679. PubMed ID: 29524154
[TBL] [Abstract][Full Text] [Related]
11. The impact of inter-observer variation in delineation on robustness of radiomics features in non-small cell lung cancer.
Kothari G; Woon B; Patrick CJ; Korte J; Wee L; Hanna GG; Kron T; Hardcastle N; Siva S
Sci Rep; 2022 Jul; 12(1):12822. PubMed ID: 35896707
[TBL] [Abstract][Full Text] [Related]
12. CT evaluation prior to transapical aortic valve replacement: semi-automatic versus manual image segmentation.
Foldyna B; Jungert C; Luecke C; von Aspern K; Boehmer-Lasthaus S; Rueth EM; Grothoff M; Nitzsche S; Gutberlet M; Mohr FW; Lehmkuhl L
Int J Cardiovasc Imaging; 2015 Aug; 31(6):1233-42. PubMed ID: 25893746
[TBL] [Abstract][Full Text] [Related]
13. Automatic segmentation variability estimation with segmentation priors.
Joskowicz L; Cohen D; Caplan N; Sosna J
Med Image Anal; 2018 Dec; 50():54-64. PubMed ID: 30208356
[TBL] [Abstract][Full Text] [Related]
14. Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients.
Saba L; Than JC; Noor NM; Rijal OM; Kassim RM; Yunus A; Ng CR; Suri JS
J Med Syst; 2016 Jun; 40(6):142. PubMed ID: 27114353
[TBL] [Abstract][Full Text] [Related]
15. High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images.
Hunter LA; Krafft S; Stingo F; Choi H; Martel MK; Kry SF; Court LE
Med Phys; 2013 Dec; 40(12):121916. PubMed ID: 24320527
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Clinical validation of an automatic atlas-based segmentation tool for male pelvis CT images.
Casati M; Piffer S; Calusi S; Marrazzo L; Simontacchi G; Di Cataldo V; Greto D; Desideri I; Vernaleone M; Francolini G; Livi L; Pallotta S
J Appl Clin Med Phys; 2022 Mar; 23(3):e13507. PubMed ID: 35064746
[TBL] [Abstract][Full Text] [Related]
18. Inter-observer variability of manual contour delineation of structures in CT.
Joskowicz L; Cohen D; Caplan N; Sosna J
Eur Radiol; 2019 Mar; 29(3):1391-1399. PubMed ID: 30194472
[TBL] [Abstract][Full Text] [Related]
19. Effects of alterations in positron emission tomography imaging parameters on radiomics features.
Ger RB; Meier JG; Pahlka RB; Gay S; Mumme R; Fuller CD; Li H; Howell RM; Layman RR; Stafford RJ; Zhou S; Mawlawi O; Court LE
PLoS One; 2019; 14(9):e0221877. PubMed ID: 31487307
[TBL] [Abstract][Full Text] [Related]
20. Comparison of semi-automatic and manual segmentation methods for tumor delineation on head and neck squamous cell carcinoma (HNSCC) positron emission tomography (PET) images.
Philip MM; Watts J; Moeini SNM; Musheb M; McKiddie F; Welch A; Nath M
Phys Med Biol; 2024 Apr; 69(9):. PubMed ID: 38530298
[No Abstract] [Full Text] [Related]
[Next] [New Search]