AIMC Topic: Placenta
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Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI.
Journal of magnetic resonance imaging : JMRI
Aug 16, 2022
BACKGROUND: Automated segmentation of the placenta by MRI in early pregnancy may help predict normal and aberrant placenta function, which could improve the efficiency of placental assessment and the prediction of pregnancy outcomes. An automated seg...
Toxicity, genotoxicity, and carcinogenicity of 2-methylfuran in a 90-day comprehensive toxicity study in gpt delta rats.
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Aug 13, 2022
2-Methylfuran (2-MF) exists naturally in foods and is used as a flavoring agent. Furan, the core structure of 2-MF, possesses hepatocarcinogenicity in rodents. Accumulation of toxicological information on furan derivatives is needed to elucidate thei...
Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.
Ultrasound in medicine & biology
Jan 19, 2022
Placenta localization from obstetric 2-D ultrasound (US) imaging is unattainable for many pregnant women in low-income countries because of a severe shortage of trained sonographers. To address this problem, we present a method to automatically detec...
GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images.
Laboratory investigation; a journal of technical methods and pathology
Mar 5, 2021
The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and endocrine systems. Abnormalities in the placenta cause or reflect most abnormalities in gestation and can have life-long consequences for the mother and ...
Integrated Learning: Screening Optimal Biomarkers for Identifying Preeclampsia in Placental mRNA Samples.
Computational and mathematical methods in medicine
Feb 23, 2021
Preeclampsia (PE) is a maternal disease that causes maternal and child death. Treatment and preventive measures are not sound enough. The problem of PE screening has attracted much attention. The purpose of this study is to screen placental mRNA to o...
Deep learning-based fetoscopic mosaicking for field-of-view expansion.
International journal of computer assisted radiology and surgery
Aug 17, 2020
PURPOSE: Fetoscopic laser photocoagulation is a minimally invasive surgical procedure used to treat twin-to-twin transfusion syndrome (TTTS), which involves localization and ablation of abnormal vascular connections on the placenta to regulate the bl...
Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy.
International journal of computer assisted radiology and surgery
Apr 30, 2020
PURPOSE: Twin-to-twin transfusion syndrome (TTTS) is a placental defect occurring in monochorionic twin pregnancies. It is associated with high risks of fetal loss and perinatal death. Fetoscopic elective laser ablation (ELA) of placental anastomoses...
Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning.
European radiology
Aug 23, 2019
OBJECTIVE: The aim of this study was to investigate whether intraplacental texture features from routine placental MRI can objectively and accurately predict invasive placentation.
How and why should the radiologist look at the placenta?
European radiology
Aug 7, 2019
This editorial comment refers to the article "Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning" by Sun et al. in European Radiology. KEY POINTS: • Understanding how t...
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.
Magnetic resonance imaging
May 15, 2019
PURPOSE: To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis (TA) features could be useful in assessing the presence of placenta accreta spectrum (PAS) in patients with placenta previa (PP). The hypothesis is t...
Placenta Previa
Image Interpretation, Computer-Assisted
Prenatal Diagnosis
Machine Learning
Placenta Accreta
Algorithms
Retrospective Studies
Pregnancy
Humans
Magnetic Resonance Imaging
Female
Predictive Value of Tests
Reproducibility of Results
Bayes Theorem
Adult
Placenta
Sensitivity and Specificity
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