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CDC A-Z Index
Public Health Genomics and Precision Health Knowledge Base (v8.8)
PHGKB
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Office of Genomics and Precision Public Health
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Cancer
Last data update: Sep 26, 2023
. (Total: 61648 Documents since 2012)
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A deep learning model for lymph node metastasis prediction based on digital histopathological images of primary endometrial cancer.
Min Feng et al. Quantitative imaging in medicine and surgery 2023 13(3) 1899-1913
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Prediction of Endometrial Cancer Recurrence by Using a Novel Machine Learning Algorithm: An Israeli Gynecologic Oncology Group study.
Houri Ohad et al. Journal of gynecology obstetrics and human reproduction 2022 102466
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External validation study of endometrial cancer preoperative risk stratification model (ENDORISK).
Vinklerová Petra et al. Frontiers in oncology 2022 12939226
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Machine Learning for Endometrial Cancer Prediction and Prognostication.
Bhardwaj Vipul et al. Frontiers in oncology 2022 12852746
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Evaluation and Monitoring of Endometrial Cancer Based on Magnetic Resonance Imaging Features of Deep Learning.
Tao Jingxiong et al. Contrast media & molecular imaging 2022 20225198592
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MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients.
Mainenti Pier Paolo et al. European journal of radiology 2022 149110226
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Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models.
Hong Runyu et al. Cell reports. Medicine 2021 2(9) 100400
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Statistical Meta-Analysis of Risk Factors for Endometrial Cancer and Development of a Risk Prediction Model Using an Artificial Neural Network Algorithm.
Hutt Suzanna et al. Cancers 2021 13(15)
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Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography.
Li Dan et al. Abdominal radiology (New York) 2021
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Artificial intelligence-based radiomics models in endometrial cancer: A systematic review.
Lecointre Lise et al. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 2021
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Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.
Hart Gregory R et al. Frontiers in artificial intelligence 2021 3539879
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Using machine learning to create prognostic systems for endometrial cancer.
Praiss Aaron M et al. Gynecologic oncology 2020 Oct
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Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study.
Dong Hsiang-Chun et al. International journal of environmental research and public health 2020 Aug 17(16)
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Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study.
Reijnen Casper et al. PLoS medicine 2020 May 17(5) e1003111
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Page last reviewed:
Feb 1, 2023
Page last updated:
Sep 26, 2023
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