Improving Thyroid Cancer Diagnosis and Risk Stratification with VGGNet-Driven Deep Learning from Multimodal Imaging
Recent developments in deep learning have demonstrated potential in improving the analysis of medical images in diagnosing cancer. This paper tackles the problem of precise diagnosis of thyroid cancer and stratification of risk based on multimodal imaging data. We suggest a deep-learning structure using the VGGNet fram...