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The project aims to develop an Explainable MLP-Mixer architecture for breast cancer detection using ultrasound images, incorporating optimization through Optuna and providing visual heatmaps for clinical decision support. It addresses limitations of CNNs, such as local filter restrictions and algorithmic opacity, while emphasizing the need for precision and transparency in medical AI applications. The study will evaluate the impact of this approach on the explainable detection of breast lesions, hypothesizi
- Author
- Valesska Sánchez
- Language
- EN