Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis

Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis

Abstract Background and objectives Accurate classification of lymphadenopathy is essential for determining the pathological nature of lymph nodes (LNs), which plays a crucial role in treatment selection. The biopsy method is invasive and carries the risk of sampling failure, while the utilization of...

Full description

Saved in:
Bibliographic Details
Main Authors: Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
Subjects:
Ultrasonography
Lymph node
Machine learning
Radiomics
Computer-aided diagnosis
Online Access:https://doi.org/10.1186/s12885-025-13447-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12885-025-13447-y

Similar Items