Over the last decade, Unmanned Aerial Vehicle (UAV) technology has rapidly developed by integrating AI tools and methodologies. UAVs are used across many fields, including wireless communication, logistics, agriculture, construction, security, and exploration. UAV systems are inherently complex and present numerous challenges. This study conducted a systematic literature review to identify the main challenges and the solutions researchers have proposed. A total of 141 research papers were collected and analyzed, with no restriction on publication year. The review identified 10 main challenges affecting AI in UAVs. These include problems with autonomous navigation, real-time decision-making,... More >

Accurate liver segmentation from three-dimensional (3D) computed tomography (CT) volumes is a critical step in computer-aided diagnosis, surgical planning, and disease quantification. Despite substantial progress in deep learning, achieving robust and generalizable liver segmentation remains challenging due to complex organ boundaries, pathological variations, and domain shifts across scanners. This review provides a comprehensive overview of 3D volumetric liver segmentation techniques, spanning from classical model-based methods to contemporary transformer-driven frameworks. We categorize existing methods into three paradigms: (1) classical statistical and atlas-based methods, (2) deep conv... More >