Machine and Deep Learning for the Diagnosis, Prognosis, and Treatment of Cervical Cancer: A Scoping Review

Machine and Deep Learning for the Diagnosis, Prognosis, and Treatment of Cervical Cancer: A Scoping Review

<b>Background/Objectives:</b> Cervical cancer (CC) is the fourth most common cancer among women worldwide. This study explored the use of machine learning (ML) and deep learning (DL) in the prediction, diagnosis, and prognosis of CC. <b>Methods:</b> An electronic search was c...

Full description

Saved in:
Bibliographic Details
Main Authors: Blanca Vazquez, Mariano Rojas-García, Jocelyn Isabel Rodríguez-Esquivel, Janeth Marquez-Acosta, Carlos E. Aranda-Flores, Lucely del Carmen Cetina-Pérez, Susana Soto-López, Jesús A. Estévez-García, Margarita Bahena-Román, Vicente Madrid-Marina, Kirvis Torres-Poveda
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
uterine cervical neoplasms
machine learning
deep learning
diagnosis
prognosis
therapeutics
Online Access:https://www.mdpi.com/2075-4418/15/12/1543
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items