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 ...

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