Abstract: Deep learning models perform best when trained on large datasets, but in medical imaging, obtaining such data is challenging due to privacy concerns, scarcity of rare conditions, high costs, ...

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 ...

The Image-Based Auto Clicker is a powerful tool that automates clicking based on image recognition. Developed with Python, it provides a user-friendly graphical interface built using CustomTkinter, ...

A threat activity cluster known as ShadowSilk has been attributed to a fresh set of attacks targeting government entities within Central Asia and Asia-Pacific (APAC). According to Group-IB, nearly ...

Abstract: Medical image segmentation plays a crucial role in medical image analysis, computer-aided detection and diagnosis, treatment planning, and etc. However, it is still challenging to obtain an ...