Using computer-assisted models to integrate mammograms, MRI images and clinical features for enhanced cancer diagnosis and improved patient outcome – BCANALYZE
29.11.2021
Integrating artificial intelligence (AI) to build a multi-modal data-driven approach for early diagnosis of breast cancer. This research would enable to study the features associated with tumor progression and optimize the treatment plan. We develop machine learning, deep learning methodologies that has the potential of identifying high-risk individuals, reducing false-positives, identifying individuals with high risk of relapse and enhancing the quality of cancer patient’s life.
