A Classification Diagnosis of Cervical Cancer Medical Data Based on Various Artificial Neural Networks

DOI

10.2991/ncce-18.2018.93How to use a DOI?

Keywords

health care; cervical cancer; machine learning; deep learning; regression.

Abstract

This paper mainly proposed to identify and classify the medical data of cervical cancer using neural network models such as SVM, FNN, KNN and so on. The computer recognition algorithm can overcome the deficiency that artificial identification tends to be affected by cognitive ability, subjective experience and fatigue degree. The model trained under various neural networks with the experts’ manual marked data will obtain a more precise result in the identification process of cervical cancer medical data

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yong Qi
AU  - Zhijian Zhao
AU  - Lizeqing Zhang
AU  - Haozhe Liu
AU  - Kai Lei
PY  - 2018/05
DA  - 2018/05
TI  - A Classification Diagnosis of Cervical Cancer Medical Data Based on Various Artificial Neural Networks
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 579
EP  - 582
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.93
DO  - 10.2991/ncce-18.2018.93
ID  - Qi2018/05
ER  -