The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Pelvic ultrasound-based deep learning models for accurate diagnosis of ovarian cancer: Retrospective multicenter study.
 
Hyun-Woong Cho
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Sanghoon Lee
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Jin Hwa Hong
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Seonkyung Kim
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Jaeyun Song
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Jae Kwan Lee
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