A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network

Author:

Hussain Elima,Mahanta Lipi B.,Das Chandana Ray,Talukdar Ratna Kanta

Funder

Department of Biotechnology

Publisher

Elsevier BV

Subject

Cell Biology,Developmental Biology,General Medicine

Reference30 articles.

1. Assisted primary screening using the automated ThinPrep Imaging System;Biscotti;Am. J. Clin. Pathol.,2005

2. Automated classification of Pap smear images to detect cervical dysplasia;Bora;Comput. Methods Programs Biomed.,2017

3. Automatic cervical cell segmentation and classification in Pap smears;Chankong;Comput. Methods Programs Biomed.,2014

4. Liquid-based cytology and conventional cervical smears: a comparison study in an Asian screening population;Cheung;Cancer,2003

5. CNN based segmentation of nuclei in PAP-smear images with selective pre-processing;Gautam,2018

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