Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study

Combining MRI-based HC radiomics and DTL features with the SVM model enhanced differentiation between sinonasal SCC, NHL, and ACC.

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Publication Details

Journal
Future Oncology
Published
2025-02-24
DOI
https://doi.org/10.1080/14796694.2025.2469486
Citations
1
Primary Topic
Head and Neck Surgical Oncology
Type
article
Field-Weighted Citation Impact
2.01
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article

Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study

Naier Lin, Yiqian Shi, Xian‐Hao Jia, Yiyin Zhang et al.
1 citations
Future Oncology
Head and Neck Surgical Oncology
2.01
article

Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study

Naier Lin, Yiqian Shi, Xian‐Hao Jia, Yiyin Zhang, Min Ye
article en
1 citations

Abstract

Combining MRI-based HC radiomics and DTL features with the SVM model enhanced differentiation between sinonasal SCC, NHL, and ACC.

Future OncologyVol. 21(8)
Fudan University (CN)
Openalex Percentile: Top 19%
Head and Neck Surgical Oncology
2.01
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