[HTML][HTML] 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] 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 Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …
techniques to anticipate results more effectively without human involvement. Since AI …
A hybrid lightweight breast cancer classification framework using the histopathological images
D Addo, S Zhou, K Sarpong, OT Nartey… - Biocybernetics and …, 2024 - Elsevier
A crucial element in the diagnosis of breast cancer is the utilization of a classification method
that is efficient, lightweight, and precise. Convolutional neural networks (CNNs) have …
that is efficient, lightweight, and precise. Convolutional neural networks (CNNs) have …
[HTML][HTML] Delamination detection in CFRP laminates using deep transfer learning with limited experimental data
Carbon fiber reinforced polymer (CFRP) composites have been continuously replacing
conventional metallic materials due to their excellent material properties. The orthotropic …
conventional metallic materials due to their excellent material properties. The orthotropic …
Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images
Segmentation of myocardial infarction (MI) is a crucial task in the field of heart disease
theranostics. Cardiac magnetic resonance imaging (MRI) is a well-known non-invasive …
theranostics. Cardiac magnetic resonance imaging (MRI) is a well-known non-invasive …
Attention induced multi-head convolutional neural network organization with MobileNetv1 transfer learning and COVID-19 diagnosis using jellyfish search …
Abstract In this research, Attention Induced Multi-head Convolutional Neural Network
Organization using MobileNetv1 Transfer Learning and COVID-19 Diagnosis using Jellyfish …
Organization using MobileNetv1 Transfer Learning and COVID-19 Diagnosis using Jellyfish …
[HTML][HTML] Artificial Intelligence Applied to Chest X-ray: A Reliable Tool to Assess the Differential Diagnosis of Lung Pneumonia in the Emergency Department
D Ippolito, C Maino, D Gandola, PN Franco, R Miron… - Diseases, 2023 - mdpi.com
Background: Considering the large number of patients with pulmonary symptoms admitted
to the emergency department daily, it is essential to diagnose them correctly. It is necessary …
to the emergency department daily, it is essential to diagnose them correctly. It is necessary …
Comparative analysis of artificial intelligence for predicting covid-19 using diverse chest x-ray images
COVID-19 prediction plays a crucial role in medical decision-making for respiratory health.
Accurate and rapid prediction using advanced artificial intelligence (AI) techniques is …
Accurate and rapid prediction using advanced artificial intelligence (AI) techniques is …
An Intelligent COVID‐19‐Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation
The misleading information during the coronavirus disease 2019 (COVID‐19) pandemic's
peak time is very sensitive and harmful in our community. Analyzing and detecting COVID …
peak time is very sensitive and harmful in our community. Analyzing and detecting COVID …