Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI

The ResNet101 network with mean sequence based DL model could effectively differential between sinonasal SCC, ACC and ONB and improved the diagnostic performances of both senior and junior radiologists.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-02-21
DOI
https://doi.org/10.1186/s12880-024-01517-9
Citations
7
Primary Topic
Head and Neck Surgical Oncology
Type
article
Field-Weighted Citation Impact
14.04
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article

Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI

Luxi Wang, Naier Lin, Yan Sha, Yiyin Zhang et al.
7 citations
BMC Medical Imaging
Head and Neck Surgical Oncology
14.04
article

Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI

Luxi Wang, Naier Lin, Yan Sha, Yiyin Zhang, Wei Chen, Hanyu Xiao
article en
7 citations

Abstract

The ResNet101 network with mean sequence based DL model could effectively differential between sinonasal SCC, ACC and ONB and improved the diagnostic performances of both senior and junior radiologists.

BMC Medical ImagingVol. 25(1)
Fudan University (CN), Eye & ENT Hospital of Fudan University (CN)
Openalex Percentile: Top 1%
Head and Neck Surgical Oncology
14.04
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