MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer
Abstract Objective Lymphovascular invasion (LVI) is critical for the effective treatment and prognosis of breast cancer (BC). This study aimed to investigate the value of eight machine learning models based on MRI radiomic features for the preoperative prediction of LVI status in BC. Methods A total...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-11-01
|
Series: | BMC Medical Imaging |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12880-024-01501-3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|