Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images

YR Park, YJ Kim, W Ju, K Nam, S Kim, KG Kim - Scientific Reports, 2021 - nature.com
Cervical cancer is the second most common cancer in women worldwide with a mortality
rate of 60%. Cervical cancer begins with no overt signs and has a long latent period, making …

Detection of COVID-19 chest X-ray using support vector machine and convolutional neural network

DCR Novitasari, R Hendradi, RE Caraka… - Commun. Math. Biol …, 2020 - scik.org
This study aims to detect whether patients examined are healthy, Coronavirus positive, or
just have pneumonia based on chest X-ray data using Convolutional Neural Network …

Detection of cervical cancer cells in complex situation based on improved YOLOv3 network

D Jia, Z He, C Zhang, W Yin, N Wu, Z Li - Multimedia tools and …, 2022 - Springer
Cervical cancer is one of the major diseases that seriously threaten women's health.
Cervical cancer automatic screening technology is of great significance to reduce the …

Detection of cervical cells based on improved SSD network

D Jia, J Zhou, C Zhang - Multimedia Tools and Applications, 2022 - Springer
Cervical cancer has influenced life of women worldwide as the fourth most severe cancer.
Early screening, detection and treatment of cervical cancer notably increase the life quality …

Deep fusion of gray level co-occurrence matrices for lung nodule classification

A Saihood, H Karshenas, ARN Nilchi - Plos one, 2022 - journals.plos.org
Lung cancer is a serious threat to human health, with millions dying because of its late
diagnosis. The computerized tomography (CT) scan of the chest is an efficient method for …

Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis

G Bulusu, KE Vidyasagar, M Mudigonda… - … Methods in Engineering, 2025 - Springer
Cancer detection has long been a continuous key performer in oncological research. The
revolution of artificial intelligence (AI) and its application in the field of cancer turned out to …

Radiomics diagnostic tool based on deep learning for colposcopy image classification

Y Jiménez Gaona, D Castillo Malla, B Vega Crespo… - Diagnostics, 2022 - mdpi.com
Background: Colposcopy imaging is widely used to diagnose, treat and follow-up on
premalignant and malignant lesions in the vulva, vagina, and cervix. Thus, deep learning …

Smart intelligent system for cervix cancer image classification using google cloud platform

P Subashini, TT Dhivyaprabha, M Krishnaveni… - … for Effective Planning …, 2023 - Springer
Smart healthcare system provides clinical care condition become more intelligence. It is
developed using diverse sort of information technology components which include cloud …

Comparison of the histogram of oriented gradient, GLCM, and shape feature extraction methods for breast cancer classification using SVM

H Mu'jizah, DCR Novitasari - Jurnal Teknologi dan Sistem …, 2021 - jtsiskom.undip.ac.id
Breast cancer originates from the ducts or lobules of the breast and is the second leading
cause of death after cervical cancer. Therefore, early breast cancer screening is required …

Lung cancer classification based on CT scan image by applying FCM segmentation and neural network technique

AZ Foeady, SR Riqmawatin… - … Electronics and Control …, 2021 - telkomnika.uad.ac.id
The number of people with lung cancer has reached approximately 2.09 million people
worldwide. Out of 9.06 million cases of death, 1.76 million people die due to lung cancer …