Multi-instance multi-label learning for surgical image annotation.

Background: Various techniques have been proposed in the literature for phase and tool recognition from laparoscopic videos. In comparison, research in multilabel annotation of still frames is limited.

Methods: We describe a framework for multilabel annotation of images extracted from laparoscopic cholecystectomy (LC) videos based on multi-instance multiple-label learning.

An automated skills assessment framework for laparoscopic training tasks.

Background: Various sensors and methods are used for evaluating trainees' skills in laparoscopic procedures. These methods are usually task-specific and involve high costs or advanced setups.

Methods: In this paper, we propose a novel manoeuver representation feature space (MRFS) constructed by tracking the vanishing points of the edges of the graspers on the video sequence frames, acquired by the standard box trainer camera.

e-Herophilus: 24-hour personalised telecardiology services.

Telecardiology is the use of telemedicine for remote cardiological monitoring and healing. The international shift from traditional healthcare to electronic healthcare and the various telecardiology solutions available worldwide motivated our efforts to design and develop the e-Herophilus platform implementing a strategy to improve the quality and reliability of telecardiology in Greece. Our primary goal was to develop a national standard to consider the needs of rural, urban and telehomecare cardiological services provision ranging from children to adults and the elderly.

Effect of different traversal schemes in integral image coding.

Integral imaging (InIm) is a highly promising technique for the delivery of three-dimensional (3D) image content. During capturing, different views of an object are recorded as an array of elemental images (EIs), which form the integral image. High-resolution InIm requires sensors with increased resolution and produces huge amounts of highly correlated data.

Accurate lattice extraction in integral images.

Integral imaging is one of the most promising techniques for delivering three-dimensional content. Most processing tasks usually require prior knowledge of the size and positions of the elemental images that comprise an integral image. In this paper we propose an automated method for calibrating the acquisition setup, by applying a preprocessing stage to an acquired integral image.