Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics.

ABSTRACT:

Significance

Endoscopic screening for esophageal cancer (EC) may enable early cancer diagnosis and treatment. While optical microendoscopic technology has shown promise in improving specificity, the limited field of view (<1  mm) significantly reduces the ability to survey large areas efficiently in EC screening.

Aim

To improve the efficiency of endoscopic screening, we propose a novel concept of end-expandable endoscopic optical fiber probe for larger field of visualization and for the first time evaluate a deep-learning-based image super-resolution (DL-SR) method to overcome the issue of limited sampling capability.

Approach

To demonstrate feasibility of the end-expandable optical fiber probe, DL-SR was applied on simulated low-resolution microendoscopic images to g

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10993061 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature