Smart Heart Scans: Less Work, More Accuracy

Heart scans using MRI give doctors a clear look at the heart's structure. This helps in spotting heart problems early. But, making these scans work well with computers needs lots of labeled data. Labeling data is a big job. It takes time and effort. A new method called PDFMSeg changes this. It uses a small amount of labeled data and a lot of unlabeled data. This makes the process faster and easier. The method has two main parts. First, it uses a dynamic mix of high and low-frequency components from pseudo-labels. This helps in making the boundaries of the heart structures clearer. Second, it uses a special loss function called Partial Dice Loss. This improves the accuracy of the segmentation. Tests show that PDFMSeg works better than other methods. It gives high scores on public datasets like ACDC and MSCMR. Even with just 10% of the data labeled, it performs well. The model is also efficient. It uses fewer parameters and less computing power. This new method could be a game-changer. It makes heart scans more accessible and accurate. Doctors could use it to diagnose heart diseases faster and more reliably. The code and models are available for anyone to use. This could lead to more research and improvements in the future.