CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification—leveraging deep learning models for enhanced diagnostic accuracy

Abstract Cervical cancer is a significant global health issue affecting women worldwide, necessitating prompt detection and effective management. According to the World Health Organization (WHO), approximately 660,000 new cases of cervical cancer and 350,000 deaths were reported globally in 2022, wi...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:BMC Cancer
المؤلفون الرئيسيون: Zahra Taghados, Zohreh Azimifar, Malihezaman Monsefi, Mojgan Akbarzadeh Jahromi
التنسيق: مقال
اللغة:الإنجليزية
منشور في: BMC 2025-04-01
الموضوعات:
Causal discovery
Causal inference
Causal reasoning
Causality
Cervical cancer
Classification
الوصول للمادة أونلاين:https://doi.org/10.1186/s12885-025-13926-2

الانترنت

https://doi.org/10.1186/s12885-025-13926-2

مواد مشابهة