Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study

The deep learning model of TVUS can be used in ovarian cancer evaluation, and its diagnostic performance is comparable to that of expert assessment.

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Publication Details

Journal
Journal of Ovarian Research
Published
2024-11-06
DOI
https://doi.org/10.1186/s13048-024-01544-8
Citations
13
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
6.98

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article

Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study

Weiwei Feng, Xiang-Hui Bai, Xin He, Hui Chen
13 citations
Journal of Ovarian Research
Ovarian cancer diagnosis and treatment
6.98
article

Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study

Weiwei Feng, Xiang-Hui Bai, Xin He, Hui Chen
article en
13 citations

Abstract

The deep learning model of TVUS can be used in ovarian cancer evaluation, and its diagnostic performance is comparable to that of expert assessment.

Journal of Ovarian ResearchVol. 17(1)
Ruijin Hospital (CN), Philips (China) (CN), University of Hong Kong (HK)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality
Good health and well-being
Openalex Percentile: Top 3%
Ovarian cancer diagnosis and treatment
6.98
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