AIMC Topic: Endometrium

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Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography.

Abdominal radiology (New York) Jul 21, 2021
PURPOSE: In this study, we developed radiomic models that utilize a combination of imaging features and clinical variables to distinguish endometrial cancer (EC) from normal endometrium on routine computed tomography (CT).
Radiologists Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Endometrium
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Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients.

Frontiers in immunology Apr 1, 2021
Recurrent reproductive failure (RRF), such as recurrent pregnancy loss and repeated implantation failure, is characterized by complex etiologies and particularly associated with diverse maternal factors. It is currently believed that RRF is closely a...
Reproductive Techniques, Assisted Deep Learning Pregnancy Outcome Endometrium Autoantibodies Humans Pregnancy Female
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Using machine learning to create prognostic systems for endometrial cancer.

Gynecologic oncology Oct 2, 2020
OBJECTIVE: We used a novel machine learning algorithm to develop a precision prognostication system for endometrial cancer.
Humans Machine Learning Prognosis Female Aged Young Adult Endometrium Neoplasm Staging Neoplasm Grading SEER Program Datasets as Topic Endometrial Neoplasms Kaplan-Meier Estimate Risk Assessment Adult Adolescent Survival Rate United States Middle Aged Age Factors
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Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms.

IEEE journal of biomedical and health informatics Oct 1, 2019
Uterine cancer (also known as endometrial cancer) can seriously affect the female reproductive system, and histopathological image analysis is the gold standard for diagnosing endometrial cancer. Due to the limited ability to model the complicated re...
Histological Techniques Humans Sensitivity and Specificity Neural Networks, Computer Deep Learning Algorithms Endometrium Female Image Interpretation, Computer-Assisted
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Effect of imatinib on growth of experimental endometriosis in rats.

European journal of obstetrics, gynecology, and reproductive biology Dec 25, 2015
OBJECTIVE: Currently, medical and surgical treatment options for endometriosis are limited due to suboptimal efficacy, and also safety and tolerance issues. Long-term use of gonadotrophin-releasing hormone analogs, androgenes, and the danazol, which ...
Anastrozole Cell Proliferation bcl-2-Associated X Protein Peritoneal Diseases Endometriosis Female Angiogenesis Inhibitors Triazoles Nitriles Proto-Oncogene Proteins c-kit Vascular Endothelial Growth Factor A Animals Endometrium Aromatase Inhibitors Transplantation, Autologous Rats Disease Models, Animal Ovarian Follicle Peritoneum Imatinib Mesylate
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Upregulation of immune genes in the proliferative phase endometrium enables classification into women with recurrent pregnancy loss versus controls.

Human reproduction (Oxford, England) Jun 1, 2025
STUDY QUESTION: Does the transcriptome of preconceptional endometrium in the proliferative phase show a specific profile in women with recurrent pregnancy loss (RPL)?
Humans Pregnancy Female Young Adult Case-Control Studies Endometrium Adult Up-Regulation Gene Expression Profiling Abortion, Habitual Transcriptome
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A deep learning tissue classifier based on differential co-expression genes predicts the pregnancy outcomes of cattle†.

Biology of reproduction Mar 16, 2025
Economic losses in cattle farms are frequently associated with failed pregnancies. Some studies found that the transcriptomic profiles of blood and endometrial tissues in cattle with varying pregnancy outcomes display discrepancies even before artifi...
Pregnancy Outcome Endometrium Insemination, Artificial Pregnancy Transcriptome Deep Learning Cattle Female Embryo Transfer Animals Gene Expression Profiling
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Machine learning to identify endometrial biomarkers predictive of pregnancy success following artificial insemination in dairy cows†.

Biology of reproduction Jul 12, 2024
The objective was to identify a set of genes whose transcript abundance is predictive of a cow's ability to become pregnant following artificial insemination. Endometrial epithelial cells from the uterine body were collected for RNA sequencing using ...
Machine Learning Biomarkers Pregnancy Female Pregnancy Outcome Animals Endometrium Cattle Insemination, Artificial
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Breaking the ageing paradigm in endometrium: endometrial gene expression related to cilia and ageing hallmarks in women over 35 years.

Human reproduction (Oxford, England) Apr 1, 2022
STUDY QUESTION: Does age affect endometrial gene expression?
Retrospective Studies Female Reproducibility of Results Aging Humans Artificial Intelligence Cilia Transcriptome Endometrium Vascular Endothelial Growth Factor A
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Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation process during assisted reproduction. The JZ changes throughout the hormone stimulation cycle and has predictive value for implantation success. Desp...
Uterus Deep Learning Ultrasonography Endometrium Embryo Implantation Humans Female
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