Classification of Breast Lesions on DCE-MRI Data Using a Fine-Tuned MobileNet.
- Resource Type
- Article
- Authors
- Wang, Long; Zhang, Ming; He, Guangyuan; Shen, Dong; Meng, Mingzhu
- Source
- Diagnostics (2075-4418). Mar2023, Vol. 13 Issue 6, p1067. 13p.
- Subject
- *CONTRAST-enhanced magnetic resonance imaging
*DEEP learning
*EARLY detection of cancer
*CELL phones
- Language
- ISSN
- 2075-4418
It is crucial to diagnose breast cancer early and accurately to optimize treatment. Presently, most deep learning models used for breast cancer detection cannot be used on mobile phones or low-power devices. This study intended to evaluate the capabilities of MobileNetV1 and MobileNetV2 and their fine-tuned models to differentiate malignant lesions from benign lesions in breast dynamic contrast-enhanced magnetic resonance images (DCE-MRI). [ABSTRACT FROM AUTHOR]