Inception v3 based cervical cell classification combined with artificially extracted features

• Published in: Applied soft computing Vol. 93; p. 106311
• Main Authors: Dong, N., Zhao, L., Wu, C.H., Chang, J.F.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2020
• Subjects: Artificial feature extraction; Cervical cancer disease diagnosis; Inception v3; Medical image processing; Transfer learning; Medical image processing; Artificial feature extraction; Cervical cancer disease diagnosis; Inception v3; Transfer learning

Traditional cell classification methods generally extract multiple features of the cell manually. Moreover, the simple use of artificial feature extraction methods has low universality. For example, it is unsuitable for cervical cell recognition because of the complexity of the cervical cell texture...