scispace - formally typeset
Journal ArticleDOI

Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects.

TLDR
This review covers state‐of‐the‐art segmentation and classification methodologies for the whole fetus and, more specifically, the fetal brain, lungs, liver, heart and placenta in magnetic resonance imaging and (3D) ultrasound for the first time.
About
This article is published in Medical Image Analysis.The article was published on 2019-01-01. It has received 70 citations till now.

read more

Citations
More filters
Journal ArticleDOI

Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning

TL;DR: A semiautomatic algorithm to detect the placenta, both umbilical cord insertions and the placental vasculature from Doppler ultrasound and provides a near real-time user experience and requires short training without compromising the segmentation accuracy.
Journal ArticleDOI

A new approach using image analysis to assess pulmonary hypoplasia in the fetal lamb diaphragmatic hernia model

TL;DR: In this paper, the authors evaluated bronchial area (BA) by bronchography in a fetal lamb DH model to develop a measure of pulmonary hypoplasia (PH) and also pulmonary vascular and bronchia abnormalities.
Journal ArticleDOI

An Accurate Segmentation Framework for Static Ultrasound Images of the Gestational Sac

TL;DR: An accurate segmentation framework for gestational sac ultrasound images from two different scanning machines is proposed based on an improved level-set algorithm driven by shape domain-specific knowledge and shows better performance than other commonly used segmentation methods.
Journal ArticleDOI

Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI

TL;DR: A new formulation of the loss akin to the Contour Dice metric is described, which is computed efficiently for each slice via erosion, dilation and XOR operators and yielded the best performance for placenta segmentation.
Journal ArticleDOI

Fuzzy based region growing segmentation with modified least square fitting algorithm for automatic fetal growth estimation

TL;DR: In this paper , a Discrete Wavelet Transform (DWT) based fuzzy region growing segmentation scheme was proposed for automatic estimation of gestation age using the head circumference data obtained/ retrieved from the ultrasonic images of the fetus.
References
More filters
Journal ArticleDOI

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

TL;DR: An efficient and effective dense training scheme which joins the processing of adjacent image patches into one pass through the network while automatically adapting to the inherent class imbalance present in the data, and improves on the state-of-the‐art for all three applications.
Journal ArticleDOI

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

TL;DR: A novel deep learning-based interactive segmentation framework by incorporating CNNs into a bounding box and scribble-based segmentation pipeline and proposing a weighted loss function considering network and interaction-based uncertainty for the fine tuning is proposed.
Journal ArticleDOI

The ultrasonic changes in the maturing placenta and their relation to fetal pulmonic maturity.

TL;DR: A correlation between maturational changes of the placenta as seen by ultrasound and fetal pulmonic maturity as indicated by L/S ratio is suggested.
Related Papers (5)