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.

OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

A central difficulty lies in reconciling existing buildings with contemporary codes and regulations. Many structures were designed for specific, now-outdated programs; they can be challenging to ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Something unusual happened in the world of AI image editing recently. A new model, known as “nano banana,” started making the rounds with impressive abilities that landed it at the top of the LMArena ...

ABSTRACT: 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 ...

With GPT-5 on the horizon and Meta ramping up AI hiring, Anthropic’s new security-focused features aim to differentiate Claude in the increasingly crowded GenAI coding space. Anthropic has introduced ...

Automated security reviews in Claude Code help ensure code safety. Spot and fix vulnerabilities before your code reaches production. Run the /security-review command in the terminal or via GitHub ...