U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …

Introduction–Retinal layer segmentation in optical coherence tomography (OCT) images is
an important approach for detecting and prognosing disease. Automating segmentation …

In this work, we explore deep learning model design and application in the context of multi-
dimensional data in medical image analysis. A lot of medical image analysis problems come …

U-net is an image segmentation technique developed primarily for medical image analysis
that can precisely segment images using a scarce amount of training data. These traits …