CLNAD-Net: A Multi-Task Learning Framework for Cervical Lymph Node Computer-Aided Diagnosis Network

Journal of Imaging Informatics in Medicine · Published 2026-08-05 · DOI 10.1007/s10278-026-02160-2

Authors (6)

Weihua He, Fet Ouyang, Guangming Yang, Li Liang, Tong Zhang, Zhiyong Zhang

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

He, W., Ouyang, F., Yang, G., et al. (2026). CLNAD-Net: A Multi-Task Learning Framework for Cervical Lymph Node Computer-Aided Diagnosis Network. Journal of Imaging Informatics in Medicine. https://doi.org/10.1007/s10278-026-02160-2

Related articles

• Neoadjuvant Chemoradiotherapy on Postoperative Complications of Rectal Cancer: A Retrospective Study Integrating MRI Radiomics and Deep Learning · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• Patient-Level Cross-validated nnU-Net for Multiclass Segmentation of Lung Parenchyma and Solid Adenocarcinoma on Thoracic CT · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• AI as Core Infrastructure in Radiology: Moving Beyond Pilots to Operational Excellence · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• LCRE-Net: A Lightweight Cross-Scale Residual Enhancement Network for Lung Segmentation in CT Images · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• User Interface Design for AI-Based Medical Imaging: A Scoping Review · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• Deep Generative Translation of Standard Images into Virtual High-Energy Images for Facilitating Dual-Energy Chest Radiography · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree · Journal of Imaging Informatics in Medicine · 2026 · Same journal
• LSMA-PQR: A Comprehensive Dataset of Lumbar Spine Multi-View Annotations with Pfirrmann Grading, Quantitative Measurements, and Structured Radiological Reports · Journal of Imaging Informatics in Medicine · 2026 · Same journal