Objective The endoscopic and laryngoscopic examination is paramount for laryngeal,
oropharyngeal, nasopharyngeal, nasal, and oral cavity benign lesions and cancer …

Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

Deep learning techniques hold promise to develop dense topography reconstruction and
pose estimation methods for endoscopic videos. However, currently available datasets do …

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908
constitutes the refereed proceedings of the 24th International Conference on Medical Image …

Background Accurate vocal cord leukoplakia classification is critical for the individualized
treatment and early detection of laryngeal cancer. Numerous deep learning techniques have …

The first step in the diagnosis of gastric abnormalities is the detection of various
abnormalities in the human gastrointestinal tract. Manual examination of endoscopy images …

Objectives/Hypothesis This sco** review aims to provide a broad overview of the
applications of artificial intelligence (AI) to office laryngoscopy to identify gaps in knowledge …

A standard screening procedure involves video endoscopy of the Gastrointestinal tract. It is a
less invasive method which is practiced for early diagnosis of gastric diseases. Manual …

Objective This study aims to develop and validate a convolutional neural network (CNN)‐
based algorithm for automatic selection of informative frames in flexible laryngoscopic …

With the advent of Minimally Invasive Surgery (MIS), intra-operative imaging has become
crucial for surgery and therapy guidance, allowing to partially compensate for the lack of …