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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Cancer

Last data update: Mar 27, 2023. (Total: 58930 Documents since 2012)
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Records 1 - 14 (of 14 Records)

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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
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
External validation study of endometrial cancer preoperative risk stratification model (ENDORISK).
Vinklerová Petra et al. Frontiers in oncology 2022 12939226
Machine Learning for Endometrial Cancer Prediction and Prognostication.
Bhardwaj Vipul et al. Frontiers in oncology 2022 12852746
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
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
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
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)
Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography.
Li Dan et al. Abdominal radiology (New York) 2021
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
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.
Hart Gregory R et al. Frontiers in artificial intelligence 2021 3539879
Using machine learning to create prognostic systems for endometrial cancer.
Praiss Aaron M et al. Gynecologic oncology 2020 Oct
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)
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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