Author:
Khamparia Aditya,Gupta Deepak,Rodrigues Joel J. P. C.,de Albuquerque Victor Hugo C.
Funder
Instituto Nacional de Ciência e Tecnologia de Informação Quântica
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference20 articles.
1. Adem K, Kilicarslan S, Cömert O (2019) Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder. Expert Syst Appl 115:557–564
2. Almubarak HA, Stanley RJ, Long R, Antani S, Thoma G, Zuna R, Frazier SR (2017) Convolutional neural network based localized classification of uterine cervical cancer digital histology images. Procedia Comput Sci 114:281–287
3. Chen W, Gou S, Wang X, Li X, Jiao L (2018) Classification of PolSAR images using multilayer autoencoders and a self-paced learning approach. Remote Sens 10(1):1–17. https://doi.org/10.3390/rs10010110
4. Elayaraja P, Suganthi M (2018) Automatic approach for cervical cancer detection and segmentation using neural network classifier. Asian Pac J Cancer Prev: APJCP 19(12):3571
5. Ferlay J, Soerjomataram I, Ervik M, Forman D, Bray F, Dixit R et al (2012) GLOBOCAN 2012, Cancer Incidence and Mortality Worldwide in 2012. International Agency for Research on Cancer, Lyon
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