Journal ArticleDOI
Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects.
Jordina Torrents-Barrena,Gemma Piella,Narcís Masoller,Eduard Gratacós,Elisenda Eixarch,Mario Ceresa,Miguel Ángel González Ballester +6 more
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
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Journal ArticleDOI
Fuzzy modified cuckoo search for biomedical image segmentation
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Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI
TL;DR: A novel DL image classification architecture, Fetal Organ Anomaly Classification Network (FOAC-Net), which uses squeeze-and-excitation (SE) and naïve inception (NI) modules to automatically identify anomalies in fetal organs, which outperformed other state-of-the-art classification architectures in terms of class-average F1 and accuracy.
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Noninvasive prenatal diagnosis targeting fetal nucleated red blood cells
TL;DR: In this article , a review of recent advances in NIPD technologies based on the isolation and analysis of fetal-nucleated red blood cells (fNRBCs) is presented.
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On the use of multicompartment models of diffusion and relaxation for placental imaging.
TL;DR: A review of multi-compartment models of diffusion and relaxation for placental imaging can be found in this paper, where the authors provide a framework for their motivation and implementation and describe some of the outstanding questions that need to be answered before they can be routinely adopted.
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Deep learning-based quality-controlled spleen assessment from ultrasound images
TL;DR: In this article , two deep learning-based approaches were investigated to achieve automated spleen length measurement from ultrasound images, one is a segmentation-based approach, where they trained a modified U-Net to obtain a spleen segmentation and then applied post-processing to measure the spleen lengths from the segmentation.
References
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Journal ArticleDOI
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas,Christian Ledig,Virginia F. J. Newcombe,Joanna P. Simpson,Andrew D. Kane,David K. Menon,Daniel Rueckert,Ben Glocker +7 more
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
A Randomized Trial of Prenatal versus Postnatal Repair of Myelomeningocele
N. Scott Adzick,Elizabeth Thom,Catherine Y. Spong,John W. Brock,Pamela K. Burrows,Mark P. Johnson,Lori J. Howell,Jody A. Farrell,Mary E. Dabrowiak,Leslie N. Sutton,Nalin Gupta,Noel Tulipan,Diana L. Farmer +12 more
TL;DR: Prenatal surgery for myelomeningocele reduced the need for shunting and improved motor outcomes at 30 months but was associated with maternal and fetal risks and increased risk of preterm delivery and uterine dehiscence at delivery.
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Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
Guotai Wang,Wenqi Li,Maria A. Zuluaga,Rosalind Pratt,Premal A. Patel,Michael Aertsen,Tom Doel,Anna L. David,Jan Deprest,Sebastien Ourselin,Tom Vercauteren +10 more
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.
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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.