(Note: we require login to avoid abuse on our GPU server array. It's FREE to use, just register an account and we will approve manually.)
(The platform demo video is available here: )
With collaboration with International Atomic Energy Agency (IAEA), we have learned that majority third-world country hospitals don't have the technology and corresponding infrastructure to have an easy-to-use solution for physicians, neurosurgens and medical physicists to use AI to easily and quickly contour Organ-At-Risk (OAR) or tumor during their patient treatment workflow. And we decide to work on this and make an impact for the field.
After two years hard work, we would like to introduce service.neuralrad.com, the 1st ever free to use Full-body Organ-At-Risk (OAR) and Tumor segmentation cloud platform available to anyone. We build this cloud platform with an array of high performance GPU servers (Most of them Nvidia Geforce 4090 and 3090) and dynamically allocate more than 100G gpu memory at any certain time for fast deep learning based segmentation inference. With this service, we would like to help medical physicists and physicians to tackle the troublesome lesion and OAR segmentation problems during radiation treatment workflow.
p.s. This platform has been chosen by IAEA for the IAEA 2023 AI Workshop for Medical Physics program. (https://www.iaea.org/events/evt2...)
Disclaimer: NeuralRad cloud service is not FDA approved at the moment. We recommend using this service for research and study purposes. All patient information of dicom files are automatically anonymized at the browser (client) side and only anonymized dicom data are sent to NeuralRad cloud servers for segmentation inference.
Enjoy and happy new year!