A Comparative Study of Deep Learning Models and Expert Diagnosis in benign and malignant Classification of Ovarian Masses Based on Ultrasound Images
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
- Longxiang Feng (ORCID: https://orcid.org/0009-0006-6701-6594)
- Yang Yang (ORCID: https://orcid.org/0009-0005-2548-4982)
- Peizhong Liu (ORCID: https://orcid.org/0000-0002-0809-6364)
- Zhuosheng Liu (ORCID: https://orcid.org/0009-0008-4995-4207)
Institutions
- Huaqiao University (CN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1145/3733006.3733022
- Citations
- 1
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.70