CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Level set snake algorithms on the fetal heart
Authors
A. Todd-Pokropek (17259031)
I. Dindoyal (17933078)
J. Deng (6514157)
Tryphon Lambrou (17161762)
Publication date
8 February 2024
Publisher
Abstract
The fetal heart has very thin intra-chamber walls which are often not resolved by ultrasound scanners and may drop out as a result of imaging. In order to measure blood volumes from all chambers in isolation, deformable model approaches were used to segment the chambers and fill in the missing structural information. Three level set algorithms in the fetal cardiac segmentation literature (two without and, one with the use of a shape prior) were applied to real ultrasound data. The shape prior term was extracted from the shape prior level set and incorporated into the amorphous snakes for a fairer comparison. To our knowledge this is the first time these existing fetal cardiac non shape based segmentation algoridims have been modified for shape awareness in this way. © 2007 IEEE.</p
Similar works
Full text
Available Versions
FigShare
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:figshare.com:article/25187...
Last time updated on 10/02/2024