Deep Learning Prediction of Ovarian Malignancy at US Compared with O-RADS and Expert Assessment

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Radiology

Ovarian thecoma-fibroma groups: clinical and sonographic features with pathological comparison

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Journal of Ovarian Research

Flavonoids in <i>Ageratum conyzoides</i> L. Exert Potent Antitumor Effects on Human Cervical Adenocarcinoma HeLa Cells <i>In Vitro</i> and <i>In Vivo</i>

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BioMed Research International

Systematic analysis of bacteriostatic mechanism of flavonoids using transcriptome and its therapeutic effect on vaginitis

Zeyan Lin, Yanyan Lin, Zhengbing Zhang, +4

Aging

Comparison of the Diagnostic Performances of Ultrasound-Based Models for Predicting Malignancy in Patients With Adnexal Masses

Le Qian, Qinwen Du, Meijiao Jiang, +3

Frontiers in Oncology

Ovarian sex cord stromal tumours: analysis of the clinical and sonographic characteristics of different histopathologic subtypes

Meijiao Jiang, Le Qian, Bowen Yang, +2

Journal of Ovarian Research

Application of machine learning algorithms in real-time fouling monitoring of plate heat exchangers

Gang Hou, Dong Zhang, Qunmin Yan, +3

International Communications in Heat and Mass Transfer