294 related articles for article (PubMed ID: 24990346)
1. Test-retest reproducibility analysis of lung CT image features.
Balagurunathan Y; Kumar V; Gu Y; Kim J; Wang H; Liu Y; Goldgof DB; Hall LO; Korn R; Zhao B; Schwartz LH; Basu S; Eschrich S; Gatenby RA; Gillies RJ
J Digit Imaging; 2014 Dec; 27(6):805-23. PubMed ID: 24990346
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions.
Tunali I; Hall LO; Napel S; Cherezov D; Guvenis A; Gillies RJ; Schabath MB
Med Phys; 2019 Nov; 46(11):5075-5085. PubMed ID: 31494946
[TBL] [Abstract][Full Text] [Related]
4. Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.
Balagurunathan Y; Gu Y; Wang H; Kumar V; Grove O; Hawkins S; Kim J; Goldgof DB; Hall LO; Gatenby RA; Gillies RJ
Transl Oncol; 2014 Feb; 7(1):72-87. PubMed ID: 24772210
[TBL] [Abstract][Full Text] [Related]
5. Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer.
Fried DV; Tucker SL; Zhou S; Liao Z; Mawlawi O; Ibbott G; Court LE
Int J Radiat Oncol Biol Phys; 2014 Nov; 90(4):834-42. PubMed ID: 25220716
[TBL] [Abstract][Full Text] [Related]
6. CT texture analysis reliability in pulmonary lesions: the influence of 3D vs. 2D lesion segmentation and volume definition by a Hounsfield-unit threshold.
Adelsmayr G; Janisch M; Kaufmann-Bühler AK; Holter M; Talakic E; Janek E; Holzinger A; Fuchsjäger M; Schöllnast H
Eur Radiol; 2023 May; 33(5):3064-3071. PubMed ID: 36947188
[TBL] [Abstract][Full Text] [Related]
7. Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer.
Mattonen SA; Palma DA; Haasbeek CJ; Senan S; Ward AD
Med Phys; 2014 Mar; 41(3):033502. PubMed ID: 24593744
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Lung texture in serial thoracic CT scans: assessment of change introduced by image registration.
Cunliffe AR; Al-Hallaq HA; Labby ZE; Pelizzari CA; Straus C; Sensakovic WF; Ludwig M; Armato SG
Med Phys; 2012 Aug; 39(8):4679-90. PubMed ID: 22894392
[TBL] [Abstract][Full Text] [Related]
10. Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.
Awad J; Owrangi A; Villemaire L; O'Riordan E; Parraga G; Fenster A
Med Phys; 2012 Feb; 39(2):851-65. PubMed ID: 22320795
[TBL] [Abstract][Full Text] [Related]
11. Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT.
Depeursinge A; Yanagawa M; Leung AN; Rubin DL
Med Phys; 2015 Apr; 42(4):2054-63. PubMed ID: 25832095
[TBL] [Abstract][Full Text] [Related]
12. Investigation of thoracic four-dimensional CT-based dimension reduction technique for extracting the robust radiomic features.
Tanaka S; Kadoya N; Kajikawa T; Matsuda S; Dobashi S; Takeda K; Jingu K
Phys Med; 2019 Feb; 58():141-148. PubMed ID: 30824145
[TBL] [Abstract][Full Text] [Related]
13. Semiautomatic Analysis on Computed Tomography in Locally Advanced or Metastatic Non-Small Cell Lung Cancer: Reproducibility and Prognostic Significance of Unidimensional and 3-dimensional Measurements.
Colombi D; Manna C; Montermini I; Seletti V; Diciotti S; Tiseo M; Fontana E; De Filippo M; Silva M; Sverzellati N
J Thorac Imaging; 2015 Sep; 30(5):290-9. PubMed ID: 25837590
[TBL] [Abstract][Full Text] [Related]
14. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.
Way TW; Hadjiiski LM; Sahiner B; Chan HP; Cascade PN; Kazerooni EA; Bogot N; Zhou C
Med Phys; 2006 Jul; 33(7):2323-37. PubMed ID: 16898434
[TBL] [Abstract][Full Text] [Related]
15. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
[TBL] [Abstract][Full Text] [Related]
16. Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?
Fave X; Mackin D; Yang J; Zhang J; Fried D; Balter P; Followill D; Gomez D; Jones AK; Stingo F; Fontenot J; Court L
Med Phys; 2015 Dec; 42(12):6784-97. PubMed ID: 26632036
[TBL] [Abstract][Full Text] [Related]
17. Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings.
Lu L; Ehmke RC; Schwartz LH; Zhao B
PLoS One; 2016; 11(12):e0166550. PubMed ID: 28033372
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules.
Wu YJ; Liu YC; Liao CY; Tang EK; Wu FZ
Sci Rep; 2021 Jan; 11(1):66. PubMed ID: 33462251
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]