Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders

Hui Yang, Walid Aydi, Nisreen Innab, Mohamed E. Ghoneim, Massimiliano Ferrara

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Fingerprint

Dive into the research topics of 'Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders'. Together they form a unique fingerprint.

Engineering

Material Science

Computer Science