Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods

Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods

Background: The prognosis of patients with early diagnosis of malignant endometrial lesions is good. We aimed to identify benign and malignant lesions in endometrial tissue, explore effective methods for assisting diagnosis, and improve the accuracy and precision of identifying en...

Full description

Saved in:
Bibliographic Details
Main Authors: Shanshan Li, Jiali Wang, Li Zhou, Hui Wang, Xiangyu Wang, Jian Hu, Qingxiu Ai
Format: Article
Language:English
Published: IMR Press 2025-01-01
Series:Clinical and Experimental Obstetrics & Gynecology
Subjects:
endometrial lesions
early diagnosis
ultrasound radiomics
clinical features
machine learning
Online Access:https://www.imrpress.com/journal/CEOG/52/1/10.31083/CEOG25957
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items