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A Transformer-Based 2.5D Deep Learning Model for Preoperative Prediction of Lymph Node Metastasis in Papillary Thyroid Carcinoma

2026-04-02

Abstract excerpt

<h4>Background</h4> Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remains challenging, particularly in clinically node-negative (cN0) patients, leading to potential overtreatment. We aimed to develop and validate a Transformer-based 2.5D deep learning model (ThyLNT) using preoperative computed tomography (CT) images for robust prediction of LNM and to explore...

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Literature Corpus work
b73d0f6c-20b2-5ac4-b7f2-bc6f624ba463
DOI
10.64898/2026.04.01.26349933
Open publication

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A Transformer-Based 2.5D Deep Learning Model for Preoperative Prediction of Lymph Node Metastasis in Papillary Thyroid CarcinomaDOI 10.64898/2026.04.01.26349933
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