Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors

BACKGROUND: To develop an artificial intelligence (AI) model with radiomics and deep learning (DL) features extracted from CT images to distinguish benign from malignant ovarian tumors. METHODS: We enrolled 149 patients with pathologically confirmed ovarian tumors. A total of 185 tumors were include...

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Detalles Bibliográficos
Autores principales: Jan, Ya-Ting, Tsai, Pei-Shan, Huang, Wen-Hui, Chou, Ling-Ying, Huang, Shih-Chieh, Wang, Jing-Zhe, Lu, Pei-Hsuan, Lin, Dao-Chen, Yen, Chun-Sheng, Teng, Ju-Ping, Mok, Greta S. P., Shih, Cheng-Ting, Wu, Tung-Hsin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126170/
https://www.ncbi.nlm.nih.gov/pubmed/37093321
http://dx.doi.org/10.1186/s13244-023-01412-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126170/
https://www.ncbi.nlm.nih.gov/pubmed/37093321
http://dx.doi.org/10.1186/s13244-023-01412-x

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