Back to search

Article

Generalizable deep learning framework for 3D medical image segmentation using limited training data

2024-07-24

Abstract excerpt

<title>Abstract</title> <p>Medical image segmentation is a critical component in a wide range of clinical applications, enabling the identification and delineation of anatomical structures. This study focuses on segmentation of anatomical structures for 3D printing, virtual surgery planning, and advanced visualization such as virtual or augmented reality. Manual segmentation methods are labor-intensive and can be...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5f229d14-62c0-5105-9d77-83204c8038a0
DOI
10.21203/rs.3.rs-4667752/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Generalizable deep learning framework for 3D medical image segmentation using limited training dataDOI 10.21203/rs.3.rs-4667752/v1
Select a neighboring publication to make it the new centre.