The diagnostic value of convolutional neural networks in thyroid cancer detection using ultrasound images

CNN model has shown strong predictive ability in ultrasound image analysis of suspicious thyroid nodules, which not only provides a powerful auxiliary diagnostic tool for clinicians, but also provides new directions and possibilities for future medical image analysis research.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-05-08
DOI
https://doi.org/10.3389/fonc.2025.1534228
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
Controls
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article

The diagnostic value of convolutional neural networks in thyroid cancer detection using ultrasound images

Pei Zhang, Feng Jiang, Qijian Xu
2 citations
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
2.72
article

The diagnostic value of convolutional neural networks in thyroid cancer detection using ultrasound images

Pei Zhang, Feng Jiang, Qijian Xu
article en
2 citations

Abstract

CNN model has shown strong predictive ability in ultrasound image analysis of suspicious thyroid nodules, which not only provides a powerful auxiliary diagnostic tool for clinicians, but also provides new directions and possibilities for future medical image analysis research.

Frontiers in OncologyVol. 15
Wannan Medical College (CN), First Affiliated Hospital of Wannan Medical College (CN)
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
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