Deep learning for medical image-based cancer diagnosis

X Jiang, Z Hu, S Wang, Y Zhang - Cancers, 2023 - mdpi.com
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Computational intelligence in cancer diagnostics: a contemporary review of smart phone apps, current problems, and future research potentials

S Jain, D Naicker, R Raj, V Patel, YC Hu, K Srinivasan… - Diagnostics, 2023 - mdpi.com
Cancer is a dangerous and sometimes life-threatening disease that can have several
negative consequences for the body, is a leading cause of mortality, and is becoming …

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 …

Deep metric learning for cervical image classification

A Pal, Z Xue, B Befano, AC Rodriguez, LR Long… - IEEE …, 2021 - ieeexplore.ieee.org
Cervical cancer is caused by the persistent infection of certain types of the Human
Papillomavirus (HPV) and is a leading cause of female mortality particularly in low and …

Multi-state colposcopy image fusion for cervical precancerous lesion diagnosis using BF-CNN

L Yan, S Li, Y Guo, P Ren, H Song, J Yang… - … Signal Processing and …, 2021 - Elsevier
Colposcopy is one of the most commonly used procedures to screen for cervical lesions in
early precancerous stages, allowing effective preventive treatments for cervical cancer …

Exploring explainable artificial intelligence techniques for evaluating cervical intraepithelial neoplasia (CIN) diagnosis using colposcopy images

E Hussain, LB Mahanta, KA Borbora, H Borah… - Expert Systems with …, 2024 - Elsevier
Although artificial intelligence techniques have performed well in analysing medical images,
it is essential to consider the degree of understanding or interpretation in evaluations. This is …

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 …

Perbandingan Ekstraksi Fitur Untuk Klasifikasi COVID-19, MERS, dan SARS Menggunakan Algoritma Extreme Learning Machine

KA Zahroh, DCR Novitasari, L Hakim - Jurnal Fourier, 2024 - mail.fourier.or.id
Pada tahun 2019, terjadi kemunculan suatu wabah penyakit COVID-19. Wabah penyakit
tersebut telah mengguncang dunia sehingga menyebabkan pandemi secara global. Selain …

A comparative analysis of machine and deep learning models for cervical cancer classification

P Varalakshmi, R Swetha - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Machine learning and deep learning algorithms have made significant contributions to
healthcare industry. These algorithms aid in improving the accuracy and reliability of …

A Novel Nucleus Detection on Pap Smear Image Using Mathematical Morphology Approach

N Nahrawi, WA Mustafa, SNAM Kanafiah… - Journal of …, 2021 - Trans Tech Publ
The fourth most common form of cancer among women is cervical cancer with 569,847 new
cases and 311,365 reported deaths worldwide in 2018. Cervical cancer is classified as the …