1014 related articles for article (PubMed ID: 30280245)
1. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
[TBL] [Abstract][Full Text] [Related]
2. A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI.
Yin P; Mao N; Zhao C; Wu J; Chen L; Hong N
J Magn Reson Imaging; 2019 Mar; 49(3):752-759. PubMed ID: 30430686
[TBL] [Abstract][Full Text] [Related]
3. Clinical-radiomics nomograms for pre-operative differentiation of sacral chordoma and sacral giant cell tumor based on 3D computed tomography and multiparametric magnetic resonance imaging.
Yin P; Mao N; Wang S; Sun C; Hong N
Br J Radiol; 2019 Sep; 92(1101):20190155. PubMed ID: 31276426
[TBL] [Abstract][Full Text] [Related]
4. Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.
Hu J; Zhao Y; Li M; Liu Y; Wang F; Weng Q; You R; Cao D
Eur J Radiol; 2020 May; 126():108929. PubMed ID: 32169748
[TBL] [Abstract][Full Text] [Related]
5. Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma.
Qian Z; Zhang L; Hu J; Chen S; Chen H; Shen H; Zheng F; Zang Y; Chen X
Front Oncol; 2021; 11():699789. PubMed ID: 34490097
[TBL] [Abstract][Full Text] [Related]
6. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
[TBL] [Abstract][Full Text] [Related]
7. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
8. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
[TBL] [Abstract][Full Text] [Related]
9. Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.
Shu J; Wen D; Xi Y; Xia Y; Cai Z; Xu W; Meng X; Liu B; Yin H
Eur J Radiol; 2019 Dec; 121():108738. PubMed ID: 31756634
[TBL] [Abstract][Full Text] [Related]
10. Differentiation of primary chordoma, giant cell tumor and schwannoma of the sacrum by CT and MRI.
Si MJ; Wang CS; Ding XY; Yuan F; Du LJ; Lu Y; Zhang WB
Eur J Radiol; 2013 Dec; 82(12):2309-15. PubMed ID: 24035342
[TBL] [Abstract][Full Text] [Related]
11. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
[No Abstract] [Full Text] [Related]
12. Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics.
Xiao DX; Zhong JP; Peng JD; Fan CG; Wang XC; Wen XL; Liao WW; Wang J; Yin XF
BMC Med Imaging; 2023 Oct; 23(1):159. PubMed ID: 37845636
[TBL] [Abstract][Full Text] [Related]
13. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
14. Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.
Du D; Feng H; Lv W; Ashrafinia S; Yuan Q; Wang Q; Yang W; Feng Q; Chen W; Rahmim A; Lu L
Mol Imaging Biol; 2020 Jun; 22(3):730-738. PubMed ID: 31338709
[TBL] [Abstract][Full Text] [Related]
15. Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [
Gómez OV; Herraiz JL; Udías JM; Haug A; Papp L; Cioni D; Neri E
Cancers (Basel); 2022 Jun; 14(12):. PubMed ID: 35740588
[TBL] [Abstract][Full Text] [Related]
16. Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.
Hashido T; Saito S; Ishida T
J Comput Assist Tomogr; 2021 Jul-Aug 01; 45(4):606-613. PubMed ID: 34270479
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.
Tian L; Zhang D; Bao S; Nie P; Hao D; Liu Y; Zhang J; Wang H
Clin Radiol; 2021 Feb; 76(2):158.e19-158.e25. PubMed ID: 33293024
[TBL] [Abstract][Full Text] [Related]
19. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
[TBL] [Abstract][Full Text] [Related]
20. Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion-weighted imaging for differentiation of benign from malignant tumors.
Shao S; Mao N; Liu W; Cui J; Xue X; Cheng J; Zheng N; Wang B
J Xray Sci Technol; 2020; 28(4):799-808. PubMed ID: 32538891
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
