Pattern recognition and deep learning technologies, enablers of industry 4.0, and their role in engineering research

J Serey, M Alfaro, G Fuertes, M Vargas, C Duran… - Symmetry, 2023 - mdpi.com
The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …

Application of deep learning for prediction of alzheimer's disease in PET/MR imaging

Y Zhao, Q Guo, Y Zhang, J Zheng, Y Yang, X Du… - Bioengineering, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
people worldwide. Positron emission tomography/magnetic resonance (PET/MR) imaging is …

Developing a tuned three-layer perceptron fed with trained deep convolutional neural networks for cervical cancer diagnosis

S Fekri-Ershad, MF Alsaffar - Diagnostics, 2023 - mdpi.com
Cervical cancer is one of the most common types of cancer among women, which has
higher death-rate than many other cancer types. The most common way to diagnose cervical …

Cervical cancer diagnosis based on multi-domain features using deep learning enhanced by handcrafted descriptors

O Attallah - Applied Sciences, 2023 - mdpi.com
Cervical cancer, among the most frequent adverse cancers in women, could be avoided
through routine checks. The Pap smear check is a widespread screening methodology for …

Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing

E Özbay, FA Özbay - Computers in Biology and Medicine, 2023 - Elsevier
Cervical cancer is a common disease in women, affecting their lives negatively and often
resulting in death. Pap-smear tests are preferred by doctors as the primary tool in the early …

An edge-located uniform pattern recovery mechanism using statistical feature-based optimal center pixel selection strategy for local binary pattern

S Lan, H Fan, S Hu, X Ren, X Liao, Z Pan - Expert Systems with …, 2023 - Elsevier
Abstract The Local Binary Pattern (LBP) is a commonly used method for texture classification
that performs well in terms of feature discrimination. However,(1) LBP can misclassify some …

Hybrid loss-constrained lightweight convolutional neural networks for cervical cell classification

W Chen, W Shen, L Gao, X Li - Sensors, 2022 - mdpi.com
Artificial intelligence (AI) technologies have resulted in remarkable achievements and
conferred massive benefits to computer-aided systems in medical imaging. However, the …

Cervical cancer diagnosis using an integrated system of principal component analysis, genetic algorithm, and multilayer perceptron

OY Dweekat, SS Lam - Healthcare, 2022 - mdpi.com
Cervical cancer is one of the most dangerous diseases that affect women worldwide. The
diagnosis of cervical cancer is challenging, costly, and time-consuming. Existing literature …

Pap smear images classification using machine learning: a literature matrix

NA Alias, WA Mustafa, MA Jamlos, H Alquran… - Diagnostics, 2022 - mdpi.com
Cervical cancer is regularly diagnosed in women all over the world. This cancer is the
seventh most frequent cancer globally and the fourth most prevalent cancer among women …

Cervical Cancer Detection Techniques: A Chronological Review

WA Mustafa, S Ismail, FS Mokhtar, H Alquran, Y Al-Issa - Diagnostics, 2023 - mdpi.com
Cervical cancer is known as a major health problem globally, with high mortality as well as
incidence rates. Over the years, there have been significant advancements in cervical …