417 related articles for article (PubMed ID: 36980475)
1. Phenotyping the Histopathological Subtypes of Non-Small-Cell Lung Carcinoma: How Beneficial Is Radiomics?
Pasini G; Stefano A; Russo G; Comelli A; Marinozzi F; Bini F
Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980475
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis.
Garau N; Paganelli C; Summers P; Choi W; Alam S; Lu W; Fanciullo C; Bellomi M; Baroni G; Rampinelli C
Med Phys; 2020 Sep; 47(9):4125-4136. PubMed ID: 32488865
[TBL] [Abstract][Full Text] [Related]
4. A subregion-based positron emission tomography/computed tomography (PET/CT) radiomics model for the classification of non-small cell lung cancer histopathological subtypes.
Shen H; Chen L; Liu K; Zhao K; Li J; Yu L; Ye H; Zhu W
Quant Imaging Med Surg; 2021 Jul; 11(7):2918-2932. PubMed ID: 34249623
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.
Shiri I; Amini M; Nazari M; Hajianfar G; Haddadi Avval A; Abdollahi H; Oveisi M; Arabi H; Rahmim A; Zaidi H
Comput Biol Med; 2022 Mar; 142():105230. PubMed ID: 35051856
[TBL] [Abstract][Full Text] [Related]
7. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature.
Khodabakhshi Z; Mostafaei S; Arabi H; Oveisi M; Shiri I; Zaidi H
Comput Biol Med; 2021 Sep; 136():104752. PubMed ID: 34391002
[TBL] [Abstract][Full Text] [Related]
11. A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features.
Diao Z; Jiang H
Comput Biol Med; 2024 May; 174():108461. PubMed ID: 38626509
[TBL] [Abstract][Full Text] [Related]
12. Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics.
Zhang Y; Liu H; Chang C; Yin Y; Wang R
PLoS One; 2024; 19(4):e0300170. PubMed ID: 38568892
[TBL] [Abstract][Full Text] [Related]
13. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
14. A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in
Pasini G; Russo G; Mantarro C; Bini F; Richiusa S; Morgante L; Comelli A; Russo GI; Sabini MG; Cosentino S; Marinozzi F; Ippolito M; Stefano A
Diagnostics (Basel); 2023 Dec; 13(24):. PubMed ID: 38132224
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients.
Sugai Y; Kadoya N; Tanaka S; Tanabe S; Umeda M; Yamamoto T; Takeda K; Dobashi S; Ohashi H; Takeda K; Jingu K
Radiat Oncol; 2021 Apr; 16(1):80. PubMed ID: 33931085
[TBL] [Abstract][Full Text] [Related]
17. The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers.
Zhang X; Iqbal Bin Saripan M; Wu Y; Wang Z; Wen D; Cao Z; Wang B; Xu S; Liu Y; Marhaban MH; Dong X
BMC Med Imaging; 2024 Jun; 24(1):137. PubMed ID: 38844854
[TBL] [Abstract][Full Text] [Related]
18. The impact of harmonization on radiomic features in Parkinson's disease and healthy controls: A multicenter study.
Tafuri B; Lombardi A; Nigro S; Urso D; Monaco A; Pantaleo E; Diacono D; De Blasi R; Bellotti R; Tangaro S; Logroscino G
Front Neurosci; 2022; 16():1012287. PubMed ID: 36300169
[TBL] [Abstract][Full Text] [Related]
19. Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images.
Zhang J; Jin J; Ai Y; Zhu K; Xiao C; Xie C; Jin X
Eur Radiol; 2021 Feb; 31(2):1022-1028. PubMed ID: 32822055
[TBL] [Abstract][Full Text] [Related]
20. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.
Wan Q; Zhou J; Xia X; Hu J; Wang P; Peng Y; Zhang T; Sun J; Song Y; Yang G; Li X
Front Oncol; 2021; 11():683587. PubMed ID: 34868905
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]