Explainable multimodal deep learning for predicting thyroid cancer lateral lymph node metastasis using ultrasound imaging
Abstract Preoperative prediction of lateral lymph node metastasis is clinically crucial for guiding surgical strategy and prognosis assessment, yet precise prediction methods are lacking. We therefore develop Lateral Lymph Node Metastasis Network (LLNM-Net), a bidirectional-attention deep-learning m...
Saved in:
| Main Authors: | Pengcheng Shen, Zheyu Yang, Jingjing Sun, Yun Wang, Cheng Qiu, Yirou Wang, Yongyong Ren, Sheng Liu, Wei Cai, Hui Lu, Siqiong Yao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-62042-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multimodal ultrasound radiomics containing microflow images for the prediction of central lymph node metastasis in papillary thyroid carcinoma
by: Jiangyuan Ben, et al.
Published: (2025-07-01) -
Predictive risk-scoring model for lateral lymph node metastasis in papillary thyroid carcinoma
by: Yehao Guo, et al.
Published: (2025-03-01) -
Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcinoma
by: Jia-Wei Feng, et al.
Published: (2025-08-01) -
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer
by: Han Liu, et al.
Published: (2025-01-01) -
Fisher discriminant analysis of multimodal ultrasound in diagnosis of cervical metastatic lymph nodes in papillary thyroid cancer
by: Yixuan Wang, et al.
Published: (2025-01-01)