AIMC Topic: Endometrial Hyperplasia

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Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy.

PloS one Mar 31, 2021
Endometrial cancer is a ubiquitous gynecological disease with increasing global incidence. Therefore, despite the lack of an established screening technique to date, early diagnosis of endometrial cancer assumes critical importance. This paper presen...
Sensitivity and Specificity Deep Learning Female Data Accuracy Endometrial Neoplasms Early Detection of Cancer Uterine Neoplasms Humans Endometrial Hyperplasia Polyps Leiomyoma Hysteroscopy Electronic Data Processing
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Deep learning model for classifying endometrial lesions.

Journal of translational medicine Jan 6, 2021
BACKGROUND: Hysteroscopy is a commonly used technique for diagnosing endometrial lesions. It is essential to develop an objective model to aid clinicians in lesion diagnosis, as each type of lesion has a distinct treatment, and judgments of hysterosc...
Deep Learning China Female Sensitivity and Specificity Endometrial Hyperplasia Endometrial Neoplasms Uterine Diseases Hysteroscopy Humans Pregnancy
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The utility of sentinel lymph node mapping in the management of endometrial atypical hyperplasia.

Gynecologic oncology Dec 28, 2017
OBJECTIVES: To determine the risk of endometrial cancer (EC) and lymph node involvement in patients with a preoperative diagnosis of "AH-only" versus "AH - cannot rule out carcinoma" and to study the value of SLN mapping.
Carcinoma, Endometrioid Endometrial Hyperplasia Myometrium Sentinel Lymph Node Biopsy Endometrial Neoplasms CA-125 Antigen Lymphatic Metastasis Neoplasm Invasiveness Membrane Proteins Aged, 80 and over Pelvis Neoplasm Staging Female Adult Sensitivity and Specificity Neoplasm Grading Humans Aged Lymph Node Excision Middle Aged Predictive Value of Tests
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A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.

International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists Jul 1, 2020
Benign normal (NL), premalignant (endometrial intraepithelial neoplasia, EIN) and malignant (cancer, EMCA) endometria must be precisely distinguished for optimal management. EIN was objectively defined previously as a regression model incorporating m...
Precancerous Conditions Endometrial Neoplasms Endometrial Hyperplasia Models, Statistical Workflow Epithelial Cells Female Cohort Studies Image Processing, Computer-Assisted Endometrium Machine Learning Algorithms Humans
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