At the core of AI’s value in cancer care is its performance in early detection and diagnostic support, where deep learning ...

Abstract: This paper proposes a novel, non-invasive approach to diagnosing eye anemia using deep ... CNN architecture significantly improves training speed and reduces inference time. Furthermore, ...

This study presents EFFResNet-ViT, a novel hybrid deep learning ... post-transformer CNN and a global average pooling layer to enhance the classification performance. To improve interpretability, ...

While recent advancements in remote sensing, scalable computing, and visualization technologies have enabled ... point cloud data and WorldView-III multispectral imagery within a deep learning ...

LiteCNN is a Python library designed to simplify the creation, training, and visualization of convolutional neural networks (CNNs). It provides an intuitive interface for deep learning enthusiasts and ...