In the medical field, due to their economic and clinical benefits, there is a growing interest in
minimally invasive surgeries and microscopic surgeries. These types of surgeries are often …

The efficacy of content-based image classification is dependent on the richness of the
feature vectors extracted from the image data. Traditional feature extraction techniques …

Searching through large volumes of medical data to retrieve relevant information is a
challenging yet crucial task for clinical care. However the primitive and most common …

Medical professionals rely on surgical video retrieval to discover relevant content within
large numbers of videos for surgical education and knowledge transfer. However, the …

This paper addresses the challenge of efficiently retrieving surgical videos from large
databases for computer vision enhancement in medical diagnosis. The exponential growth …

In the medical field, due to their economic and clinical benefits, there is a growing interest in
minimally invasive surgeries and microscopic surgeries. These types of surgeries are often …

Endoscopic video streams, as rich sources of information on the operating field, show great
potential for exploitation by deep learning-based computer vision algorithms. Such …

Surgery represents the highest level of care any person would receive within the cycle of
care. As such, it requires intensive planning, highly experienced individuals, and a huge …

There has been tremendous growth of laparoscopic surgical video archives in the past few
years. Finding the surgical videos manually from the database is very troublesome and time …

Despite the advantages of minimally invasive surgeries, the indirect access and lack of the
3D field of view of the area of interest introduce complications in the procedures. Fortunately …