German Research Centre for Artificial Intelligence

BAASNet: boundary-aware deep learning for accurate polyp segmentation in colonoscopy

Abstract Colorectal polyps are primarily detected through colonoscopy, which plays a central role in early cancer prevention. Precise polyp segmentation supports treatment planning and diagnostic accuracy by providing masks that encode clinically relevant structures. Recent advan...

Novel class identification: A human‐in‐the‐loop approach for efficient species recognition in bioacoustic data

Abstract Passive acoustic monitoring (PAM) is widely used to collect large‐scale wildlife data encompassing many species, but efficiently identifying all species—particularly rare and potentially endangered ones—without exhaustive manual examination of the entire dataset remains...