Fiducial-Localisation. The repository contains a novel algorithm to solve the problem of Fiducial Localisation: Image-guided neurosurgery systems (IGNS) play an important role in intracranial surgery. These systems have a live CT/MRI scanning during surgeries to aid the doctor. During neuro-registration, bone based markers or fiducials are affixed to the skull before imaging so that they can calibrate the coordinate systems of the imaging device and the actual 3D World Coordinates. As of now, the actual Fiducials are tapped by instruments, and on the other hand they are MANUALLY marked out in the images obtained from the MRI/CT imaging. Automatic localization of these centers will help to reduce the human error in registration and speed up the registration process. In a nutshell, the task is to automatically locate these Fiducial markers from these images, so that they don’t have to be manually marked out by the doctor.
4gemini1.5-hack. Python
2Continual_Learning_for_KWS. Python
2agent-hack. 10/24 hackathon on llm agents
1gemini1.5-hackathon.
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