This study introduces an enhanced texture-based algorithm for the classification of oral cancer images. The images are first extensively preprocessed to enhance the affected area with techniques like ...

In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, ...

Cysteine S-carboxyethylation, a novel post-translational modification (PTM), plays a critical role in the pathogenesis of autoimmune diseases, particularly ankylosing spondylitis. Accurate ...

🛡 Bot-checks handled automatically. A blocked page climbs HTTP → browser → stealth on its own, per page and host-sticky. Challenge pages are dropped, never returned as data. No flag needed for the ...

Classification approaches that allow to extract logical rules such as decision trees are often considered to be more interpretable than neural networks. Also, logical rules are comparatively easy to ...

This is my project built for the Content-based Image Retrieval problem. In this project, I use the algorithm of indexing and searching Faiss (Facebook). Simultaneously combine many feature extraction ...