Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic ReviewBetelhem Zewdu Wubineh, Krzysztof Halawa, Andrzej Rusiecki|IEEE Access|2024Cited by 29
Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architectureBetelhem Zewdu Wubineh, Krzysztof Halawa, Andrzej Rusiecki|Neural Computing and Applications|2024Cited by 25
Data Augmentation Techniques to Detect Cervical Cancer Using Deep Learning: A Systematic ReviewBetelhem Zewdu Wubineh, Krzysztof Halawa, Andrzej Rusiecki|Lecture notes in networks and systems|2024Cited by 14
Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning TechniquesBetelhem Zewdu Wubineh, Krzysztof Halawa, Andrzej Rusiecki|Lecture notes in computer science|2024Cited by 10
SPP-SegNet and SE-DenseNet201: A Dual-Model Approach for Cervical Cell Segmentation and ClassificationBetelhem Zewdu Wubineh, Krzysztof Halawa, Andrzej Rusiecki|Cancers|2025Cited by 5