OTC-NET: A Multimodal Method for Accurate Diagnosis of Ovarian Cancer in O-RADS Category 4 Masses

These results indicate that OTC-NET provides superior diagnostic accuracy and has strong potential for clinical application.

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Publication Details

Journal
Cancers
Published
2025-10-28
DOI
https://doi.org/10.3390/cancers17213466
Citations
1
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
1.70
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article

OTC-NET: A Multimodal Method for Accurate Diagnosis of Ovarian Cancer in O-RADS Category 4 Masses

Yuling Fan, Shunlan Liu, Yidan Ruan, Xinying Zheng et al.
1 citations
Cancers
Ovarian cancer diagnosis and treatment
1.70
article

OTC-NET: A Multimodal Method for Accurate Diagnosis of Ovarian Cancer in O-RADS Category 4 Masses

Yuling Fan, Shunlan Liu, Yidan Ruan, Xinying Zheng, Xiuming Wu, Ping Li, Peizhong Liu, Shengjie Wu, Zhuosheng Liu, Yiting Liu
article en
1 citations

Abstract

These results indicate that OTC-NET provides superior diagnostic accuracy and has strong potential for clinical application.

CancersVol. 17(21)
Huaqiao University (CN), Fujian Medical University (CN), Shenzhen University (CN), Second Affiliated Hospital of Fujian Medical University (CN)
Openalex Percentile: Top 12%
Ovarian cancer diagnosis and treatment
1.70
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OTC-NET: A Multimodal Method for Accurate Diagnosis of Ovarian Cancer in O-RADS Category 4 Masses — Yuling Fan, Shunlan Liu, et al. · Cancers (2025) | TGRS Research Map | TGRS