The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Abstract: In clinical diagnosis, magnetic resonance imaging (MRI) plays a vital role in analyzing soft tissues. However, the images are affected by noise that is random in nature. The noise affects ...

• 🖼️ Whole-slide image processing: Load and preprocess whole slide images (WSIs) easily. • 🧩 Patch generation: Automatically generate patches from WSIs in parallel. • 🧠 Foundation models: Use ...

AI-generated summary reviewed by our newsroom. Read our AI Policy. North Carolina law now bans student cellphone use during instructional time. Exceptions include emergencies, medical needs, and ...

Despite extensive applications in surveillance and remote sensing, research on very low-resolution (VLR) image classification remains relatively unexplored in comparison to high-resolution (HR) image ...