Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations
Q Rafique, A Rehman, MS Afghan, HM Ahmad… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …
[HTML][HTML] From machine learning to deep learning: An advances of the recent data-driven paradigm shift in medicine and healthcare
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …
advancement has been initiated and shaped by the applications of data-driven, robust, and …
Artificial intelligence in the healthcare sector: comparison of deep learning networks using chest X-ray images
Purpose Artificial intelligence has led to significant developments in the healthcare sector,
as in other sectors and fields. In light of its significance, the present study delves into …
as in other sectors and fields. In light of its significance, the present study delves into …
Ovarian Tumors Detection and Classification on Ultrasound Images Using One-stage Convolutional Neural Networks
Currently, the advent of CNN (Convolutional Neural Network) has brought very convincing
results to computer vision problems. One-stage CNNs are a suitable choice for research and …
results to computer vision problems. One-stage CNNs are a suitable choice for research and …
COPD Assessment Through Multimodal Analysis: Exploiting the Synergy of CNNs and LSTM Networks
A Jenefa, V Ebenezer, K Rajkumar… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Chronic Obstructive Pulmonary Disease (COPD) is a prevalent respiratory condition that
requires accurate assessment for effective management. The paper proposes a novel …
requires accurate assessment for effective management. The paper proposes a novel …
A Deep Learning Framework for Prognosis Patients with COVID-19
MK Shaik, K Vanaparthi, G Swarnalatha… - 2024 Third …, 2024 - ieeexplore.ieee.org
A branch of AI known as “deep learning” sifts through mountains of data in search of patterns
and predictions using a machine learning approach called an artificial neural network …
and predictions using a machine learning approach called an artificial neural network …
A Comparative Study of Machine Learning Methods to Predict COVID-19
JP Sánchez-Solís, JD Mata Gallegos… - Innovations in Machine …, 2023 - Springer
Abstract First appearing in Wuhan City, Hubei region, China, the COVID-19 disease has
threatened public health, trade, and the global economy. The World Health Organization has …
threatened public health, trade, and the global economy. The World Health Organization has …
Deep Learning for COVID-19 Diagnosis Using Pretrained and Non-Pretrained Models
This article proposes a deep-learning approach to classify COVID-19 cases using image
data. Our model uses a convolutional neural network (CNN) to extract features from chest X …
data. Our model uses a convolutional neural network (CNN) to extract features from chest X …
An Ensemble Novel Deep Learning Technique for Chest Radiograph-Based Pneumonia Prediction
J PREMALATHA, D KAYETHRI - 2023 - researchsquare.com
Pneumonia continues to be a prominent treatable cause of global mortality, stressing the
importance of early identification to enable prompt intervention. Chest X-rays (CXRs) are an …
importance of early identification to enable prompt intervention. Chest X-rays (CXRs) are an …