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The Use of Machine Learning Models and Radiomics for Segmentation and Classification of Adnexal Masses on Ultrasound: A multi-cohort retrospective study

2023-04-28

Abstract excerpt

<h4>Background</h4> Ovarian cancer remains the deadliest of all gynaecological cancers. Ultrasound-based models exist to support the classification of adnexal masses but are dependent on human assessment of features on ultrasound. Therefore, we aimed to develop an end-to-end machine learning (ML) model capable of automating the classification of adnexal masses. <h4>Methods</h4> In this retrospective study, trans...

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Literature Corpus work
a2471622-33ef-5d32-9c89-dc75ab1d7a19
DOI
10.1101/2023.04.26.23289150
Open publication

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The Use of Machine Learning Models and Radiomics for Segmentation and Classification of Adnexal Masses on Ultrasound: A multi-cohort retrospective studyDOI 10.1101/2023.04.26.23289150
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