Predicting malignancy in breast lesions: enhancing accuracy with fine-tuned convolutional neural network models
The S4 model we propose has demonstrated superior performance in predicting the likelihood of malignancy in DCE-BMRI, making it a promising candidate for clinical application in patients with breast diseases. However, further validation is essential, highlighting the need for additional data to confirm its efficacy.
Authors
- Dong Shen
- Li Li (ORCID: https://orcid.org/0000-0003-4834-8447)
- Mingzhu Meng (ORCID: https://orcid.org/0000-0002-8448-2435)
- Ming Zhang (ORCID: https://orcid.org/0000-0002-3539-9205)
- Changjie Pan (ORCID: https://orcid.org/0000-0002-8464-4529)
- Guangyuan He
Institutions
- Changzhou No.2 People's Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1186/s12880-024-01484-1
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.69