Li Y - Search Results

1

Combining radiomics and deep learning features of intra-tumoral and peri-tumoral regions for the classification of breast cancer lung metastasis and primary lung cancer with low-dose CT.

Li L, Zhou X, Cui W, Li Y, Liu T, Yuan G, Peng Y, Zheng J. Li L, et al. Among authors: li y. J Cancer Res Clin Oncol. 2023 Nov;149(17):15469-15478. doi: 10.1007/s00432-023-05329-2. Epub 2023 Aug 29. J Cancer Res Clin Oncol. 2023. PMID: 37642722

2

Deep learning-based characterization of pathological subtypes in lung invasive adenocarcinoma utilizing ¹⁸F-deoxyglucose positron emission tomography imaging.

Wu D, Li Y, Zhou M, Gong F, Li J. Wu D, et al. Among authors: li y, li j. BMC Cancer. 2024 Oct 5;24(1):1229. doi: 10.1186/s12885-024-13018-7. BMC Cancer. 2024. PMID: 39369213 Free PMC article.

3

[Density and SUV ratios from PET/CT in the detection of mediastinal lymph node metastasis in non-small cell lung cancer].

Shao T, Yu L, Li Y, Chen M. Shao T, et al. Among authors: li y. Zhongguo Fei Ai Za Zhi. 2015 Mar;18(3):155-60. doi: 10.3779/j.issn.1009-3419.2015.03.05. Zhongguo Fei Ai Za Zhi. 2015. PMID: 25800571 Free PMC article. Chinese.

4

Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from ¹⁸F-FDG PET/CT images.

Wang H, Zhou Z, Li Y, Chen Z, Lu P, Wang W, Liu W, Yu L. Wang H, et al. Among authors: li y. EJNMMI Res. 2017 Dec;7(1):11. doi: 10.1186/s13550-017-0260-9. Epub 2017 Jan 28. EJNMMI Res. 2017. PMID: 28130689 Free PMC article.

5

18F-FDG PET/CT Image Deep Learning Predicts Colon Cancer Survival.

Tian M, Li Y, Chen H. Tian M, et al. Among authors: li y. Contrast Media Mol Imaging. 2023 May 4;2023:2986379. doi: 10.1155/2023/2986379. eCollection 2023. Contrast Media Mol Imaging. 2023. Retraction in: Contrast Media Mol Imaging. 2023 Nov 29;2023:9829612. doi: 10.1155/2023/9829612. PMID: 37181405 Free PMC article. Retracted.

6

The method and efficacy of support vector machine classifiers based on texture features and multi-resolution histogram from (18)F-FDG PET-CT images for the evaluation of mediastinal lymph nodes in patients with lung cancer.

Gao X, Chu C, Li Y, Lu P, Wang W, Liu W, Yu L. Gao X, et al. Among authors: li y. Eur J Radiol. 2015 Feb;84(2):312-7. doi: 10.1016/j.ejrad.2014.11.006. Epub 2014 Nov 18. Eur J Radiol. 2015. PMID: 25487819

7

Prognostic significance of volume-based 18F-FDG PET/CT parameters and correlation with PD-L1 expression in patients with surgically resected lung adenocarcinoma.

Wang D, Li Y, Chen X, Li P. Wang D, et al. Among authors: li y, li p. Medicine (Baltimore). 2021 Sep 3;100(35):e27100. doi: 10.1097/MD.0000000000027100. Medicine (Baltimore). 2021. PMID: 34477147 Free PMC article.

8

Evaluation of the diagnostic performance of magnetic resonance spectroscopy in brain tumors: a systematic review and meta-analysis.

Wang W, Hu Y, Lu P, Li Y, Chen Y, Tian M, Yu L. Wang W, et al. Among authors: li y. PLoS One. 2014 Nov 13;9(11):e112577. doi: 10.1371/journal.pone.0112577. eCollection 2014. PLoS One. 2014. PMID: 25393009 Free PMC article. Review.

9

A correlation study between maximum standardized uptake values and pathology and clinical staging in nonsmall cell lung cancer.

Lu P, Yu L, Li Y, Sun Y. Lu P, et al. Among authors: li y. Nucl Med Commun. 2010 Jul;31(7):646-51. Nucl Med Commun. 2010. PMID: 20545045

10

[Correlation between metabolic tumor volume (MTV) and microvessel density (MVD) and blood-borne metastasis in colorectal carcinoma].

Tian M, Yu L, Qin Y, Wang D, Wang X, Li Y. Tian M, et al. Among authors: li y. Zhonghua Zhong Liu Za Zhi. 2015 Jul;37(7):521-5. Zhonghua Zhong Liu Za Zhi. 2015. PMID: 26463329 Chinese.

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