Resolution-enhanced multi-core fiber imaging learned on a digital twin for cancer diagnosis
Tijue Wang,
Jakob Dremel,
Sven Richter
et al.
Abstract:.
Significance
Deep learning enables label-free all-optical biopsies and automated tissue classification. Endoscopic systems provide intraoperative diagnostics to deep tissue and speed up treatment without harmful tissue removal. However, conventional multi-core fiber (MCF) endoscopes suffer from low resolution and artifacts, which hinder tumor diagnostics.
Aim
We introduce a method to enable unpixelated, high-resolution tumor imaging through a given MCF wi… Show more
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