iPMI: Machine Learning-Aided Identification of Parametrial Invasion in Women with Early-Stage Cervical Cancer

iPMI: Machine Learning-Aided Identification of Parametrial Invasion in Women with Early-Stage Cervical Cancer

Radical hysterectomy is a recommended treatment for early-stage cervical cancer. However, the procedure is associated with significant morbidities resulting from the removal of the parametrium. Parametrial cancer invasion (PMI) is found in a minority of patients but the efficient system used to pred...

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Bibliographic Details
Main Authors: Phasit Charoenkwan, Watshara Shoombuatong, Chalaithorn Nantasupha, Tanarat Muangmool, Prapaporn Suprasert, Kittipat Charoenkwan
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Diagnostics
Subjects:
cervical cancer
parametrial invasion
health informatics
machine learning
random forest
Online Access:https://www.mdpi.com/2075-4418/11/8/1454

Internet

https://www.mdpi.com/2075-4418/11/8/1454

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