Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
The experimental results demonstrate that our enhanced RetinaNet model defeats the existing models by having more generalization performance than other published studies, and it can also be applied to other types of patients to assist doctors in making a proper diagnosis.
Authors
- Joseph Luttrell (ORCID: https://orcid.org/0000-0001-5832-4487)
- Juanying Xie (ORCID: https://orcid.org/0000-0001-6540-4397)
- Mingzhao Wang (ORCID: https://orcid.org/0000-0001-8277-4963)
- Ran Liu (ORCID: https://orcid.org/0000-0002-0866-9281)
- Chaoyang Zhang (ORCID: https://orcid.org/0000-0002-1221-0406)
Institutions
- University of Southern Mississippi (US)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- Journal of Multidisciplinary Healthcare
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/jmdh.s493873
- Citations
- 4
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 9.92