Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer

Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer

Abstract Ovarian cancer (OC) remains one of the most lethal gynecological malignancies globally. Despite the implementation of various medical imaging approaches for OC screening, achieving accurate differential diagnosis of ovarian tumors continues to pose significant challenges due to variability...

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Bibliographic Details
Main Authors: Song Zeng, Xin-Lu Wang, Hua Yang
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Military Medical Research
Subjects:
Radiomics
Radiogenomics
Machine learning
Deep learning
Ovarian cancer
Online Access:https://doi.org/10.1186/s40779-024-00580-1
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