Two new predictive algorithms using health records and routine blood tests improve the identification of undiagnosed cancers, including hard-to-detect types such as liver and oral cancers.

helping to retain high-quality detection results and 2) instead of involving the sparse operations like sparse convolutions or clustering algorithms/RoI operations, AODet employs transformer to detect ...

To address this issue, this paper proposes an anti-interference object-detection algorithm based on mask guidance and adaptive margin loss, termed MG2ADet. Specifically, we devise a mask guidance ...

With the outbreak of the COVID-19 pandemic, attention began to focus on how AI could improve public health, specifically pathogen detection ... by combining multiple algorithms simultaneously.

An interactive web-based platform to visualize popular algorithms with step-by-step animations. This project also includes an AI-powered recommender system that analyzes user-provided problems and ...