Deep learning based on ultrasound images predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma

We innovatively used DL of lymph node US images to predict the status of cervical lymph nodes in postoperative patients with DTC.

Authors

Institutions

Publication Details

Journal
British Journal of Radiology
Published
2025-03-12
DOI
https://doi.org/10.1093/bjr/tqaf047
Citations
1
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep learning based on ultrasound images predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma

Kesong Wang, Xiaoming Xi, Fengjing Fan, Yixuan Wang et al.
1 citations
British Journal of Radiology
Cervical Cancer and HPV Research
1.35
article

Deep learning based on ultrasound images predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma

Kesong Wang, Xiaoming Xi, Fengjing Fan, Yixuan Wang, Ying Liu, Fei Li, Bei Wang
article en
1 citations

Abstract

We innovatively used DL of lymph node US images to predict the status of cervical lymph nodes in postoperative patients with DTC.

British Journal of RadiologyVol. 98(1170)
Shandong Provincial QianFoShan Hospital (CN), Shandong First Medical University (CN), Shandong Jianzhu University (CN), Jining Medical University (CN)
Openalex Percentile: Top 22%
Cervical Cancer and HPV Research
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.