Deep learning is an advanced branch of artificial intelligence that enables the analysis of complex data, surpassing the capabilities of traditional image processing techniques. In our laboratory, we apply this cutting-edge technology to enhance the detection and diagnosis of various diseases, with a particular focus on cancer.
Our team is dedicated to the development of deep learning algorithms for medical imaging, an approach that leverages neural networks to analyze vast amounts of imaging data and extract meaningful patterns. This method is especially crucial for complex diseases such as breast, lung, and brain cancer, where early and accurate detection is essential for successful treatment.
