Pattern recognition and deep learning technologies, enablers of industry 4.0, and their role in engineering research
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 …
(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 …
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 …
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 …
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
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 …
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 …
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
Artificial intelligence (AI) technologies have resulted in remarkable achievements and
conferred massive benefits to computer-aided systems in medical imaging. However, the …
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 …
diagnosis of cervical cancer is challenging, costly, and time-consuming. Existing literature …
Pap smear images classification using machine learning: a literature matrix
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 …
seventh most frequent cancer globally and the fourth most prevalent cancer among women …
Cervical Cancer Detection Techniques: A Chronological Review
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 …
incidence rates. Over the years, there have been significant advancements in cervical …