Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …
inception. Currently, it dominates the imaging field—in particular, image classification. The …
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images
Lung disease is a most common disease all over the world. A numerous feature extraction
with classification models were discussed previously about the lung disease, but those …
with classification models were discussed previously about the lung disease, but those …
Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance
Breast cancer (BC) is spreading more and more every day. Therefore, a patient's life can be
saved by its early discovery. Mammography is frequently used to diagnose BC. The …
saved by its early discovery. Mammography is frequently used to diagnose BC. The …
Medical images classification using deep learning: a survey
R Kumar, P Kumbharkar, S Vanam… - Multimedia Tools and …, 2024 - Springer
Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …
rapidly evolving and has been used in numerous automated applications with minimal loss …
Automated detection of COVID-19 from CT scan using convolutional neural network
Under the prevailing circumstances of the global pandemic of COVID-19, early diagnosis
and accurate detection of COVID-19 through tests/screening and, subsequently, isolation of …
and accurate detection of COVID-19 through tests/screening and, subsequently, isolation of …
[HTML][HTML] Detection of COVID-19 in chest X-ray images: A big data enabled deep learning approach
Coronavirus disease (COVID-19) spreads from one person to another rapidly. A recently
discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and …
discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and …
Convolutional neural network and its pretrained models for image classification and object detection: A survey
At present, in the age of computers and automation of services, deep learning (DL)
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …
Machine learning techniques, applications, and potential future opportunities in pressure injuries (bedsores) management: a systematic review
OY Dweekat, SS Lam, L McGrath - International journal of environmental …, 2023 - mdpi.com
Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of develo** PI. Machine Learning (ML) …
Most acute or long-term care patients are at risk of develo** PI. Machine Learning (ML) …
A survey of machine learning-based methods for COVID-19 medical image analysis
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in
6.6 million deaths with more than 637 million people infected after only 30 months since the …
6.6 million deaths with more than 637 million people infected after only 30 months since the …