Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

Abstract: In medical image classification, supervised learning is challenging due to the scarcity of labeled medical images. To address this, we leverage the visual-textual alignment within ...

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India Introduction: Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths ...

Computer vision model for detecting whether workers are wearing safety helmets in images. Useful for automated safety monitoring in industrial environments.

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...