Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Abstract: Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic methods like colonoscopy suffering from suboptimal patient compliance rates. This study ...

Abstract: In this paper, we address a novel image restoration problem relevant to machine learning dataset curation: the detection and removal of noisy mirrored padding artifacts. While data ...

The ADORE dataset serves as a benchmark to explore the potential and limitations of machine learning in ecotoxicology. It focuses on acute mortality in fish, crustaceans, and algae. It has been ...