A comprehensive review and analysis of deep learning-based medical image adversarial attack and defense
Deep learning approaches have demonstrated great achievements in the field of computer-
aided medical image analysis, improving the precision of diagnosis across a range of …
aided medical image analysis, improving the precision of diagnosis across a range of …
[HTML][HTML] Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
COVID-19 is a contagious disease that affects the human respiratory system. Infected
individuals may develop serious illnesses, and complications may result in death. Using …
individuals may develop serious illnesses, and complications may result in death. Using …
[HTML][HTML] PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction
Agricultural productivity plays a vital role in global economic development and growth. When
crops are affected by diseases, it adversely impacts a nation's economic resources and …
crops are affected by diseases, it adversely impacts a nation's economic resources and …
A novel fusion model of hand-crafted features with deep convolutional neural networks for classification of several chest diseases using X-ray images
With the continuing global pandemic of coronavirus (COVID-19) sickness, it is critical to seek
diagnostic approaches that are both effective and rapid to limit the number of people …
diagnostic approaches that are both effective and rapid to limit the number of people …
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images
A recent global health crisis, COVID-19 is a significant global health crisis that has
profoundly affected lifestyles. The detection of such diseases from similar thoracic anomalies …
profoundly affected lifestyles. The detection of such diseases from similar thoracic anomalies …
MSAMS-Net: accurate lung lesion segmentation from COVID-19 CT images
Z Wang, H Zhu, X Gao - Multimedia Tools and Applications, 2024 - Springer
Abstract The coronavirus disease 2019 (COVID-19) has emerged as a global pandemic,
inflicting significant harm on the health of humans. A crucial objective in combating this …
inflicting significant harm on the health of humans. A crucial objective in combating this …
[PDF][PDF] Computer and Information Sciences
CC Ukwuoma, D Cai, MBB Heyat… - Journal of King Saud …, 2023 - researchgate.net
abstract COVID-19 is a contagious disease that affects the human respiratory system.
Infected individuals may develop serious illnesses, and complications may result in death …
Infected individuals may develop serious illnesses, and complications may result in death …
STM-ac4C: a hybrid model for identification of N4-acetylcytidine (ac4C) in human mRNA based on selective kernel convolution, temporal convolutional network, and …
M Yi, F Zhou, Y Deng - Frontiers in Genetics, 2024 - frontiersin.org
N4-acetylcysteine (ac4C) is a chemical modification in mRNAs that alters the structure and
function of mRNA by adding an acetyl group to the N4 position of cytosine. Researchers …
function of mRNA by adding an acetyl group to the N4 position of cytosine. Researchers …
Hierarchical Bayesian optimization based convolutional neural network for chest X-ray disease classification.
BK Gowru, AR Giduturi… - International Journal of …, 2025 - search.ebscohost.com
Pneumonia is an infection that affects the lungs, caused by bacteria or viruses inhaled
through the air, leading to respiratory problems. The previous researches on this subject …
through the air, leading to respiratory problems. The previous researches on this subject …
A Novel Transfer Learning Framework for Diagnosing Covid-19 from Chest X-Ray Images with Minimal Computational Resources
A Abdelwahed, AM Helmi, M Issa - Available at SSRN 4570908, 2023 - papers.ssrn.com
Deep learning proved effective in detecting COVID-19 from chest X-ray images. Although
computing is the current bottleneck in training and deploying models, few studies focus on …
computing is the current bottleneck in training and deploying models, few studies focus on …