Prostate cancer is a big deal. Doctors need to match up images from MRI scans and tissue samples to figure out the best way to treat it. But doing this by hand takes a lot of time and isn't always accurate. That's where AI comes in. A new AI model called SE-ResNet-TPS is designed to do this matching automatically. It doesn't need lots of labeled data to learn. Inste...

Retinal image registration is crucial for tracking eye diseases and planning treatments. However, it's tricky due to significant changes in the images, limited overlap, and varying quality. Enter RetinaRegNet, a model that can handle different types of retinal images without needing to be retrained each time. It starts by using a pretrained latent diffusion model to ...