Automatic diagnosis for adenomyosis in ultrasound images by deep neural networks-Reference-Cited by-同舟云学术

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Automatic diagnosis for adenomyosis in ultrasound images by deep neural networks

Published:2024-10 Issue: Volume:301 Page:128-134
ISSN:0301-2115
Container-title:European Journal of Obstetrics & Gynecology and Reproductive Biology
language:en
Short-container-title:European Journal of Obstetrics & Gynecology and Reproductive Biology

Author:

Zhao Qinghong,Yang Tongyu,Xu Changyong,Hu Jiaqi,Shuai Yu,Zou Hua,Hu Wei

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Zhongnan Hospital of Wuhan University

Key Research and Development Program of Zhejiang Province

Wuhan University Renmin Hospital

Publisher

Elsevier BV

Reference28 articles.

1. Diagnosing adenomyosis: an integrated clinical and imaging approach;Chapron;Hum Reprod Update,2020

2. Reproductive, obstetric, and perinatal outcomes of women with adenomyosis and endometriosis: a systematic review and meta-analysis;Horton;Hum Reprod Update,2019

3. Adenomyosis: Disease, uterine aging process leading to symptoms, or both?;Protopapas;Facts Views Vis Obgyn,2020

4. Adenomyosis: An update regarding its diagnosis and clinical features;Bourdon;J Gynecol Obstet Hum Reprod,2021

5. MRI characteristics of the uterine junctional zone: from normal to the diagnosis of adenomyosis;Novellas;AJR Am J Roentgenol,2011

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