Klasifikasi Kanker Payudara Menggunakan Mobilenet Pada Convolutional Neural Network (CNN)

Luthfiana, Aida (2025) Klasifikasi Kanker Payudara Menggunakan Mobilenet Pada Convolutional Neural Network (CNN). Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

Breast cancer is one of the diseases that cause many deaths. Breast cancer can attack not only women, men can also be affected by breast cancer. Breast cancer itself can attack from all ages, many factors cause breast cancer. The slow detection of breast cancer is one of the factors that causes death because of the
late diagnosis so that it is too late to get the right type of treatment. CNN is one of the methods widely used by researchers that can help to classify the type of breast cancer so that patients who are detected with breast cancer can get the right treatment. In this study, the MobileNet model was used which obtained an
accuracy of 99%.

Item Type: Thesis (Undergraduate)
Student ID: 201810370311001
Keywords: breast cancer, CNN, MobileNet
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201810370311001 aidaluthfiana
Date Deposited: 11 Feb 2025 08:07
Last Modified: 11 Feb 2025 08:07
URI: https://eprints.umm.ac.id/id/eprint/15259

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