TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer classification using convolutional neural network-support vector machine

Dublin Core

Title

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer classification using convolutional neural network-support vector machine

Subject

Cervical cancer
Classification
Convolutional neural network
Machine learning
Support vector machine

Description

Cervical cancer is the second most common cancer in women worldwide,
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible; however, it is easily detected with different
forms of machine learning methods, such as the convolutional neural
network (CNN). This is a popular method with a wide range of applications
and known for its high accuracy value. Moreover, there is a support vector
machine (SVM) with several kernel functions that is commonly used in the
classification of diseases, and also known for its high accuracy value.
Therefore, the combination of CNN–SVM with several linear kernels
functions as classifier for the categorization of cervical cancer.

Creator

Jane Eva Aurelia, Zuherman Rustam, Ilsya Wirasati

Source

http://journal.uad.ac.id/index.php/TELKOMNIKA

Date

Aug 1, 2021

Contributor

peri irawan

Format

pdf

Language

english

Type

text

Files

Collection

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Jane Eva Aurelia, Zuherman Rustam, Ilsya Wirasati, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer classification using convolutional neural network-support vector machine,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4278.