dicomviewer VS brainchop

Another open source option, but stable because it’s so actively developed: nextcloud. Its dicom viewer seems good, but I’m no expert in this. I have downloaded it and viewed imaging with it. One click install. Here it is on GitHub: https://github.com/ayselafsar/dicomviewer. News pieces: https://openhealthnews.com/tagged/dicom-viewer-app-nextcloud https://www.techrepublic.com/google-amp/article/how-to-add-dicom-image-viewing-to-nextcloud-hub/ Let me know if you have any questions.

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

We appreciate your ideas/feedback /comments by visit our discussion board and please spread a word about our work.

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.