FAQ
Brainchop is a web-based tool that allows scientists and clinicians to perform volumetric analysis of structural Magnetic Resonance Imaging (MRI) using pre-trained deep learning models, without the need for technical expertise or setup of AI solutions.
To preserving end-user MRI data privacy, unlike traditional web applications, brainchop operates within the browser environment by performing client-side processing to process the end-users data locally on their machines without the need for server-side processing and the associated privacy and portability issues.
There are multiple reasons can cause the inference model produce no output or non expected output, these reasons includes and not limited to the following:
1- The browser: Sometimes changing the browser can solve this issue.
2- The sample: If the sample is clinical scan it may not show output with small models such as GWM light models. Try to use more robust models.
3- The model: If the issue resulted from a model fast version (e.g. Aparc+Aseg 104 (High Mem, Fast) ), try to use the low memory and slow version of the model (e.g. Aparc+Aseg 104 (Low Mem, Slow) ).
Finally if you need help with any issue please feel free to report the issue or open a discussion.