Breast cancer classification using outlier detection and variance inflation factor

B Juarto - … , MAthematics and Computer Science Journal (EMACS …, 2023 - journal.binus.ac.id
In terms of malignant tumors, breast cancer is one of the most prevalent. Breast cancer is a
form of cancer that develops in the breast tissue when the surrounding, healthy breast tissue …

Real-Time Detection of Face Mask Using Convolutional Neural Network

IH Al Amin, DE Marinda, E Winarno, DH UN… - … (Rekayasa Sistem dan …, 2023 - jurnal.iaii.or.id
Masks are a simple barrier that can help us prevent transmission and spread of disease from
other people who enter the body, avoid exposure to air pollution, and protect the face from …

Breast Cancer Classification Through CT Scan Using Convolutional Neural Network (CNN)

A Loi, RN Panjaitan, SD Siregar… - Sinkron: jurnal dan …, 2024 - jurnal.polgan.ac.id
A common disease suffered by Indonesian women is breast cancer. Early awareness of
breast cancer is very important to minimize the negative impact and increase the chances of …

Deteksi kanker payudara menggunakan artificial neurol network pada deep learning

GR Ardiansyah, M Musayyanah… - INFOTECH: Jurnal …, 2023 - jurnal.sttmcileungsi.ac.id
Penyakit kanker payudara merupakan penyakit urutan pertama yang mematikan di
Indonesia. Penyakit ini telah menyita perhatian Kementerian Kesehatan Republik …

Sistem Pengenalan Penyakit Kulit Berbasis Computer Vision Dengan Metode Convolutional Neural Network (CNN).

NS Irjanto, RH Kiswanto, IS Sabra, F Rahman - Techno. com, 2024 - search.ebscohost.com
Penyakit kulit merupakan masalah kesehatan umum di Indonesia, terutama di Papua, yang
mempengaruhi berbagai kelompok usia. Meskipun sebagian besar penyakit kulit tidak …

Analysis Influence Segmentation Image on Classification Image X-raylungs with Method Convolutional Neural

F Rahman, N Hikmah… - Journal of …, 2023 - ejournal.itbwigalumajang.ac.id
The impact of image segmentation on the classification of lung X-ray images using
Convolutional Neural Networks (CNNs) has been scrutinized in this study. The dataset used …

[PDF][PDF] Breast Cancer Classification with Principal Component Analysis and Smote using Random Forest Method and Support Vector Machine

R Oktafiani, EI Sela - International Journal of Computer Applications - researchgate.net
Patients' lives may be at risk due to low-accuracy and inaccurate breast cancer classification
results. The high dimensionality and unequal distribution of classes in breast cancer medical …