Welcome to the “SeeMHeart” challenge, where we invite you to create a machine learning tool that can classify cardiac MR (CMR) sequences. This challenge is a unique opportunity to merge the worlds of medicine and artificial intelligence, improving the diagnosis and treatment of heart diseases.
Cardiac MRI is a powerful technique for assessing the heart’s structure and function. “SeeMHeart” focuses on distinguishing between four vital sequences: Cine, LGE, TRUFI, and Flow. These sequences provide different information about the heart, such as motion, scar tissue, blood flow, and anatomy.
The ability to automatically classify these sequences is crucial for developing more advanced and reliable machine learning models that can analyze cardiac MRI images in depth. This will not only enhance the efficiency and accuracy of radiologists and cardiologists, but also enable more personalized and precise patient care.
By joining the “SeeMHeart” challenge, you will be part of a healthcare revolution, where your innovations have the potential to save lives and improve the well-being of countless individuals. Let’s harness the power of machine learning to transform cardiac care and pave the way for a future where heart disease is diagnosed and treated with unprecedented speed and precision.
Develop a machine learning framework that automatically classifies different CMR sequences (Cine, LGE, TRUFI, and Flow).