A Comparative Study of Deep Learning Models and Expert Diagnosis in benign and malignant Classification of Ovarian Masses Based on Ultrasound Images
Year: 2025
Type: conference-paper
Abstract: Objective: To explore the application effect of artificial intelligence in the classification of benign and malignant ovarian masses, this study evaluates the diagnostic performance of six deep learning models and three radiologists with different experience levels on ultrasound images of 233 ovarian mass cases.
Authors: Yidan Ruan, Zhuosheng Liu, Yang Yang, Longxiang Feng, Peizhong Liu
Institution: Huaqiao University
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4410920344