Diffusion-based data augmentation methodology for improved performance in ocular disease diagnosis using retinography images
Deep learning models, integral components of contemporary technological landscapes,
exhibit enhanced learning capabilities with larger datasets. Traditional data augmentation …
exhibit enhanced learning capabilities with larger datasets. Traditional data augmentation …
Modeling of Aquila Optimizer with Hybrid ResNet-DenseNet enabled Breast Cancer Classification on Histopathological Images
RK Chandana Mani… - Journal of Intelligent & …, 2024 - content.iospress.com
Breast cancer (BC) is the most common cancer amongst women that threatens the health of
women, initial diagnosis of BC becomes essential. Though there were several means to …
women, initial diagnosis of BC becomes essential. Though there were several means to …
Multi-Class Classification of Fundus Images through an Enriched-Feature Deep Learning Model for Enhanced Diagnostic Accuracy
Diabetic Retinopathy (DR) and Glaucoma (GL) are critical eye diseases that can lead to
vision loss if not identified early. Manual diagnosis using fundus images is time-consuming …
vision loss if not identified early. Manual diagnosis using fundus images is time-consuming …