Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review

The aim of this paper was to explore the role of artificial intelligence (AI) applied to ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus databases were searched. All studies were imported to RAYYAN QCRI software. The overall quality of the included studies was assessed...

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Veröffentlicht in:	International journal of cancer Jg. 155; H. 10; S. 1832 - 1845
Hauptverfasser:	Moro, Francesca, Ciancia, Marianna, Zace, Drieda, Vagni, Marica, Tran, Huong Elena, Giudice, Maria Teresa, Zoccoli, Sofia Gambigliani, Mascilini, Floriana, Ciccarone, Francesca, Boldrini, Luca, D'Antonio, Francesco, Scambia, Giovanni, Testa, Antonia Carla
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 15.11.2024 Wiley Subscription Services, Inc
Schlagworte:	Artificial Intelligence Cervical cancer Diagnosis Endometrial cancer Endometrial Neoplasms - diagnostic imaging Endometrial Neoplasms - pathology Female Genital Neoplasms, Female - diagnostic imaging Genital Neoplasms, Female - pathology Gynecological cancer Gynecology Gynecology - methods Humans Image processing Machine Learning Malignancy Oncology Ovarian cancer Ovarian Neoplasms - diagnostic imaging Ovarian Neoplasms - pathology Radiomics Systematic review tumors Ultrasonic imaging ultrasonography Ultrasonography - methods Ultrasound Uterine cancer Uterine Cervical Neoplasms - diagnostic imaging Uterine Cervical Neoplasms - pathology gynecology tumors machine learning ultrasonography artificial intelligence
ISSN:	0020-7136, 1097-0215, 1097-0215
Online-Zugang:	Volltext
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