ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy
Abstract Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and malignant nodules is essential for making appropriate treatment decisions. Traditional ultrasound-based diagnoses often depend on the expertise of physicians, which introduces a risk of misdiag...
Saved in:
Main Authors: | Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86819-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The role of repeat fine needle aspiration in managing indeterminate thyroid nodules
by: Laura Allen, et al.
Published: (2019-03-01) -
Thyroid Nodule Ultrasound Image Segmentation Based on Improved Swin Transformer
by: Yue Wu, et al.
Published: (2025-01-01) -
Ultrasound Findings Suggestive of Malignancy in Thyroid Nodules Classified as Follicular Lesion of Undetermined Significance or Follicular Neoplasm based on the 2017 Bethesda System for Reporting Thyroid Cytopathology
by: Heui Jin Jung, et al.
Published: (2025-01-01) -
Performance of the AmpliSeq NGS panel in thyroid nodules with indeterminate cytology
by: Wiame Potonnier, et al.
Published: (2025-01-01) -
Total thyroidectomy versus hemithyroidectomy with intraoperative radiofrequency ablation for unilateral thyroid cancer with contralateral nodules: A propensity score matching study
by: Qianqian Yuan, et al.
Published: (2022-06-01)