AIMC Topic: Nuchal Translucency Measurement
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Deep-learning computer vision can identify increased nuchal translucency in the first trimester of pregnancy.
Prenatal diagnosis
Apr 1, 2024
OBJECTIVE: Many fetal anomalies can already be diagnosed by ultrasound in the first trimester of pregnancy. Unfortunately, in clinical practice, detection rates for anomalies in early pregnancy remain low. Our aim was to use an automated image segmen...
Deep Learning for Nuchal Translucency-Based Screening for Fetal Trisomy 21.
JAMA network open
Jun 1, 2022
Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor.
Prenatal diagnosis
Feb 12, 2021
OBJECTIVE: To investigate the performance of the machine learning (ML) model in predicting small-for-gestational-age (SGA) at birth, using second-trimester data.
Automatic detection and measurement of nuchal translucency.
Computers in biology and medicine
Jan 20, 2017
In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main...
Deep Learning Model for Real-Time Nuchal Translucency Assessment at Prenatal US.
Radiology. Artificial intelligence
Jul 1, 2025
Purpose To develop and evaluate an artificial intelligence-based model for real-time nuchal translucency (NT) plane identification and measurement in prenatal US assessments. Materials and Methods In this retrospective multicenter study conducted fro...
Exploitation of Medical Crisp Database for Fuzzy Diagnostic Decision Support Systems.
Studies in health technology and informatics
Jan 1, 2015
There are several types of Diagnostic Decision Support Systems (DDSS) but all move towards a common direction: provide assistance to the doctors/clinicians to make the right diagnosis for a specific patient, minimizing as much as possible the needed ...
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