Cervical cancer identification using deep learning approaches

• Main Authors: Kong, Shien Nie, Handayani, Dini Oktarina Dwi, Mun, Hou Kit, Chong, Pei Pei, Mantoro, Teddy
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2022
• Subjects: QA76 Computer software
• Online Access: http://irep.iium.edu.my/103436/1/103436_Cervical%20cancer%20identification%20using%20deep%20learning%20approaches.pdf; http://irep.iium.edu.my/103436/7/103436_Cervical%20Cancer%20Identification%20using%20Deep%20Learning%20Approaches%20_Scopus.pdf; http://irep.iium.edu.my/103436/; https://ieeexplore.ieee.org/document/10010544
• Institution: Universiti Islam Antarabangsa Malaysia

The presence of cervical cancer is not apparent as its incubation period is long. A pap smear screening is the only diagnostic method; examining the pap smear slides uses a microscope. However, problems happen where humans make mistakes during the diagnostic process, causing inaccurate results...