[HTML][HTML] A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Data augmentation involves artificially expanding a dataset by applying various
transformations to the existing data. Recent developments in deep learning have advanced …
transformations to the existing data. Recent developments in deep learning have advanced …
Toward enhanced skin disease classification using a hybrid RF-DNN system leveraging data balancing and augmentation techniques
Significant health concerns are associated with skin diseases, and accurate and timely
diagnosis is essential for effective treatment and patient management. To improve the …
diagnosis is essential for effective treatment and patient management. To improve the …
Enhancing early detection of COVID-19 with machine learning and blood test results
The medical community has a significant interest in an accurate, reliable, and effective
Medical Diagnosis Support System for COVID-19. Compared to the RT-PCR test, clinical …
Medical Diagnosis Support System for COVID-19. Compared to the RT-PCR test, clinical …
3D CNN-BN: A Breakthrough in Colorectal Cancer Detection with Deep Learning Technique
K Hicham, A El-Ibrahimi, S Laghmati… - … Research in Applied …, 2024 - ieeexplore.ieee.org
The Convolutional neural network (CNN) has made significant strides in the medical
domain. CNN excels at the extraction of highly representative features in acute medical …
domain. CNN excels at the extraction of highly representative features in acute medical …
Predictive Modeling of Flood Susceptibility in Tetouan, Morocco Using Machine Learning Algorithms
M Wassima, S Hamida, N Akouz… - … Research in Applied …, 2024 - ieeexplore.ieee.org
Floods represent a significant natural hazard causing extensive damages. The research
aims to demonstrate the robustness of employing Machine Learning (ML) models, namely …
aims to demonstrate the robustness of employing Machine Learning (ML) models, namely …
Fuzzy Logic based Expert System for Early Predicting of Chronic Kidney Disease
A El-Ibrahimi, S Laghmati, K Hicham… - … Research in Applied …, 2024 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a dangerous illness defined as the presence of kidney
damage in which the kidney cannot filter blood the way they should. the damage to the …
damage in which the kidney cannot filter blood the way they should. the damage to the …
Predictive Modeling of Flood Susceptibility in Tetouan, Morocco Using Machine Learning Algorithms
W Moutaouakil, S Hamida, B Cherradi… - African Journal of …, 2024 - revues.imist.ma
Floods represent a significant natural hazard causing extensive damages. The research
aims to demonstrate the robustness of employing Machine Learning (ML) models, namely …
aims to demonstrate the robustness of employing Machine Learning (ML) models, namely …
[PDF][PDF] Healthcare Analytics
Data augmentation involves artificially expanding a dataset by applying various
transformations to the existing data. Recent developments in deep learning have advanced …
transformations to the existing data. Recent developments in deep learning have advanced …