Diagnostic accuracy of ovarian cancer using convolutional neural network: a systematic review and meta-analysis

Abstract Background Accurate detection of ovarian cancer is crucial for effective treatment and patient survival. Objectives This study aims to evaluate the diagnostic performance of convolutional neural network (CNN) algorithms for the identification of ovarian cancer. Search strategy In this syste...

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Principais autores:	Leila Allahqoli, Atieh Karimzadeh, Ali Kazemi Abadi, Seyedeh Zahra Aghamohammadi, Sevil Hakimi, Azam Rahmani, Arezoo Fallahi, Hamid Salehiniya, Antonio Simone Laganà, Akshaya Srikanth Bhagavathula, Mohammadmatin Ghiyasvand
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2026-04-01
Series:	BMC Medical Informatics and Decision Making
Assuntos:	Ovarian cancer Convolutional neural network Diagnostic accuracy
Acceso en liña:	https://doi.org/10.1186/s12911-026-03462-9
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