A fully-automated deep learning pipeline for cervical cancer classification

Author:

Alyafeai Zaid,Ghouti LahouariORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference79 articles.

1. Seeded region growing;Adams;IEEE Transactions on Pattern Analysis and Machine Intelligence,1994

2. Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification;Adem;Expert Systems with Applications,2019

3. A hybrid deep learning and handcrafted feature approach for cervical cancer digital histology image classification;AlMubarak;International Journal of Healthcare Information Systems and Informatics (IJHISI),2019

4. Convolutional neural network based localized classification of uterine cervical cancer digital histology images.;Almubarak;Procedia computer science,2017

5. Unsupervised cell nucleus segmentation with active contours;Bamford;Signal processing,1998

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