brainchop VS PixiJS

We featured Brainchop back in the February 2023 Release Radar. Since then, Brainchop is back with a powerful model update. Brainchop is a 3D MRI rendering and segmentation tool for analysing and processing Magnetic Resonance Imaging (MRIs) of various brains. Using AI, the new version features three classes of models for processing and analysing images of brains. Here are the three new models:

Brainchop win TF Community Sportlight Award Github: https://github.com/neuroneural/brainchop

You welcome, there is no backend with brainchop, but in-browser JS functions, please visit https://github.com/neuroneural/brainchop/tree/master/js/brainchop

Live Demo: brainchop.org

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Live Demo: brainchop.org Brainchopis a client-side web-application  for automatic segmentation of MRI volumes that brings automatic volumetric  segmentation    capability to neuroimaging  by running a robustly pre-trained deep learning model. The app does not require technical sophistication from the user and is designed for  locally and privately segmenting user’s T1 volumes.  Results of the segmentation may be easily saved locally after the computation. An intuitive interactive interface that does not require any special training nor specific instruction to run enables access to a state of the art deep learning brain segmentation for anyone with a modern browser (e.g. Firefox, Chrome etc) and commonly available hardware. Additionally, we make implementation of brainchop freely available releasing its pure Javascript code as open-source.

Hi, and thanks for asking. currently we are planning to release a version with cortical structure of 50 labels within a week or so. We have also a subcortical one of 104 labels but we work on optimize it more to make it run with most browsers. Please keep tracking us, and feel free please to reach us out with your suggestion/feedback/question using Brainchop discussion board.

If you're into video game dev, then PixiJS is something you need to know about. It's a HTML5 game engine that provides a lightweight 2D library across all devices. This latest update has a new package structure, custom builds, graphics API overhaul, and lots more. You can read about all these changes in the PixiJS Migration Guide. Also big congrats to PixiJS for being part of the open source community for ten years now! 😮.

6. Pixi.js

https://pixijs.com/ and https://gsap.com/. All of the source code for my posts can be found at https://github.com/samwho/visualisations :)

For full web games (yeah, I come from the web, so I try to make my family proud), I will recommend PixiJS. It has great support for TypeScript and works very well with Vite. It's lighter than other game engines, so it's better for web games. But you will need to do a lot of things by yourself.

PixiJS (MIT/TypeScript) https://github.com/pixijs/pixijs

That approach works well for what I was trying to archive but I am planning on adding more functionality into the website. Hence in this article, let me rebuild the project using Pixi.js and it’s React binding, React Pixi.

https://openarena.live/

There's also a bunch of Javascript game engines: https://github.com/collections/javascript-game-engines

Of those, BabylonJS seems pretty powerful for 3D: https://www.babylonjs.com/games/

Or PixiJS for 2D: https://pixijs.com/

https://pixijs.com/ is more of a 2D rendering framework, but powerful and very fast