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Dual-channel ultrasonic images empowered deep learning: significantly improving prediction of occult central lymph node metastases in solitary papillary thyroid microcarcinoma Cover

Dual-channel ultrasonic images empowered deep learning: significantly improving prediction of occult central lymph node metastases in solitary papillary thyroid microcarcinoma

Radiology and Oncology
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By: Meihua Li,  Chao Jia,  Gang Li,  Qiusheng Shi and  Long Liu  
Open Access
|Feb 2026

Authors

Meihua Li

Department of Ultrasound, Sijing Hospital of Songjiang District, Shanghai, China

Chao Jia

Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Gang Li

Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Qiusheng Shi

Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Long Liu

13817309541@163.com

Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
DOI: https://doi.org/10.2478/raon-2026-0006 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
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Language: English
Submitted on: May 5, 2025
|
Accepted on: Aug 20, 2025
|
Published on: Feb 6, 2026
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
papillary thyroid microcarcinoma,
central lymph node metastasis,
deep learning,
ultrasound
Related subjects:
Medicine,
Clinical medicine,
Internal medicine,
Haematology, oncology,
Radiology

© 2026 Meihua Li, Chao Jia, Gang Li, Qiusheng Shi, Long Liu, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.

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