Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers / 中国医学科学杂志(英文版)
Chinese Medical Sciences Journal
;
(4): 196-203, 2021.
Article
in English
| WPRIM
| ID: wpr-921869
ABSTRACT
Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded as a priority in terms of women's cancer. In the past few years, many researchers have attempted to develop and apply artificial intelligence (AI) techniques to multiple clinical scenarios of ovarian cancer, especially in the field of medical imaging. AI-assisted imaging studies have involved computer tomography (CT), ultrasonography (US), and magnetic resonance imaging (MRI). In this review, we perform a literature search on the published studies that using AI techniques in the medical care of ovarian cancer, and bring up the advances in terms of four clinical aspects, including medical diagnosis, pathological classification, targeted biopsy guidance, and prognosis prediction. Meanwhile, current status and existing issues of the researches on AI application in ovarian cancer are discussed.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Ovarian Neoplasms
/
Prognosis
/
Artificial Intelligence
/
Magnetic Resonance Imaging
/
Tomography, X-Ray Computed
Type of study:
Practice guideline
/
Prognostic study
Limits:
Female
/
Humans
Language:
English
Journal:
Chinese Medical Sciences Journal
Year:
2021
Type:
Article
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