Houston Chronicle

Image Processing With MATLAB

Image processing with MATLAB is a three-step process in which you load, manipulate and then display results as output. While this may sound simple enough, many of the images you work with require ...
GitHub

Interactive MATLAB GUI for real-time rock segmentation using VGG16-UNet re-trained network with adjustable mask post-processing

This MATLAB application provides an intuitive graphical interface for rock segmentation in geological images using a pre-trained VGG16-UNet deep learning model. The GUI features real-time parameter ...
IEEE

Region Uncertainty Estimation for Medical Image Segmentation with Noisy Labels

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
IEEE

nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark

Abstract: Semantic segmentation is a crucial prerequisite in clinical applications and computer-aided diagnosis. With the development of deep neural networks, biomedical image segmentation has ...
Ars Technica

New AI model can “cut out” any object within an image—and Meta is sharing the code

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.