APA (7th ed.) Citation

Taghados, Z., Azimifar, Z., Monsefi, M., & Jahromi, M. A. CausalCervixNet: Convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification—leveraging deep learning models for enhanced diagnostic accuracy. BMC.

Chicago Style (17th ed.) Citation

Taghados, Zahra, Zohreh Azimifar, Malihezaman Monsefi, and Mojgan Akbarzadeh Jahromi. CausalCervixNet: Convolutional Neural Networks with Causal Insight (CICNN) in Cervical Cancer Cell Classification—leveraging Deep Learning Models for Enhanced Diagnostic Accuracy. BMC.

MLA (9th ed.) Citation

Taghados, Zahra, et al. CausalCervixNet: Convolutional Neural Networks with Causal Insight (CICNN) in Cervical Cancer Cell Classification—leveraging Deep Learning Models for Enhanced Diagnostic Accuracy. BMC.

Warning: These citations may not always be 100% accurate.