Deep learning-based fetoscopic mosaicking for field-of-view expansion.

ABSTRACT:

Purpose

Fetoscopic laser photocoagulation is a minimally invasive surgical procedure used to treat twin-to-twin transfusion syndrome (TTTS), which involves localization and ablation of abnormal vascular connections on the placenta to regulate the blood flow in both fetuses. This procedure is particularly challenging due to the limited field of view, poor visibility, occasional bleeding, and poor image quality. Fetoscopic mosaicking can help in creating an image with the expanded field of view which could facilitate the clinicians during the TTTS procedure.

Methods

We propose a deep learning-based mosaicking framework for diverse fetoscopic videos captured from different settings such as simulation, phantoms, ex vivo, and in vivo environments. The proposed mosaicking framewor

SUBMITTER: Bano S 

PROVIDER: S-EPMC7603466 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature