Polarized 3D Endoscopy

The proliferation of artificial intelligence (AI) has led to a major advancement in many fields.

It has enabled achieving non-precedent achievements such as human-level image recognition, intelligible language translation, and accurate medical diagnosis.

The main research goal of the PIs ERC-StG SPADE project is to use tools for data modelling to improve our understanding and usage of deep learning (DL) and thus enhance its performance in medical problems and computational imaging [1-4].

One of the fields that could greatly benefit from such progress is sensitive medical treatment, using AI-based medical devices. Such devices can initially assist the physicians with a more accurate diagnosis, and potentially save lives.

As such technology matures, the information provided to the physicians will be richer, thus, leading to more accurate diagnoses to the cases at hand. Such advancement will allow high quality and efficient treatment to a much wider public.

The scope of this POC is to apply intelligent optical imaging methods developed in the SPADE project, specifically, for introducing reliable 3D and polarization information to medical imaging devices.