Surgical data science is devoted to enhancing the quality, safety, and efficacy of
interventional healthcare. While the use of powerful machine learning algorithms is …

Minimally invasive surgery (MIS) offers several advantages to patients including minimum
blood loss and quick recovery time. However, lack of tactile or haptic feedback and poor …

Monocular depth estimation (MDE) is a critical component of many medical tracking and
mapping algorithms, particularly from endoscopic or laparoscopic video. However, because …

Sugarcane diseases are major concern for the global sugarcane market, as they can
significantly impact crop yield and quality. This can result in economic losses for farmers and …

Recently, large models (Segment Anything model) came on the scene to provide a new
baseline for polyp segmentation tasks. This demonstrates that large models with a sufficient …

Background Knee arthroscopy is one of the most complex minimally invasive surgeries, and
it is routinely performed to treat a range of ailments and injuries to the knee joint. Its complex …

Segmentation is a process to understand scene context captured by a camera, and it is
commonly used to solve many robotic problems such as localization and tracking. The utility …

The knee joint, due to its complex, confined, and dynamic nature, poses several challenges
in visualizing anatomical details for diagnostic and minimally invasive surgical procedures …

Depth estimation from a single image is a significant task. Although deep learning methods
hold great promise in this area, they still face a number of challenges, including the limited …

Plant disease detection is a pivotal step to prevent crop damage and maximise the crop
yield. Although recent deep learning-based techniques achieved significant progress in this …