Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...

Abstract: Accurate medical image segmentation is crucial in clinical applications. The existing Swin-UNet model overcomes the limitations of traditional Transformers in handling local details and high ...

With 4 million app downloads, Estonia-based startup Vocal Image aims to help people improve their voice and communication skills with AI-powered coaching. But out of its 160,000 active users, it may ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

This is the first experiment of Image Segmentation for CHAOS-MR-T2SPIR Multiclass (Liver, Kidney and Spleen) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for ...

This is the first experiment of Image Segmentation for Kidney-Tumor based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass) and a 512x512 pixels ...

In this tutorial, we will show you how to upscale an image using Copilot PC. Whether you want to take a large print of a picture, improve old photos, or crop a photo to focus on the content, you can ...