Results 1 to 10 of about 526 (75)
Standardizing Endoscopy Training: A Workshop for Endoscopy Educators [PDF]
Endoscopy education in the US traditionally follows the apprenticeship model, in which educators often have little formal training in education, and the acquisition of procedural skills by trainees relies heavily on procedure volume and learning by doing.
Sharmeel K. Wasan+4 more
openaire +4 more sources
Interdisciplinary Endoscopy [PDF]
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Allescher, H.D.+5 more
openaire +2 more sources
<b><i>Background:</i></b> Functional endoscopy signifies a significant advancement in gastrointestinal examination, integrating motor function assessments alongside routine endoscopy findings. Traditional gastrointestinal endoscopy primarily focuses on the detection of early-stage cancer by identifying morphological changes ...
Inoue, Haruhiro, Shimamura, Yuto
openaire +2 more sources
EndoMapper dataset of complete calibrated endoscopy procedures [PDF]
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manually by physicians.
arxiv +1 more source
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Leal, T, Arroja, B, Gonçalves, R
openaire +3 more sources
Depth estimation of endoscopy using sim-to-real transfer [PDF]
In order to use the navigation system effectively, distance information sensors such as depth sensors are essential. Since depth sensors are difficult to use in endoscopy, many groups propose a method using convolutional neural networks. In this paper, the ground truth of the depth image and the endoscopy image is generated through endoscopy simulation
arxiv
Endoscopy by Nonphysicians [PDF]
In 1945, Henry J Kaiser organized a group of physicians to provide health care for shipyard workers and their families. His foundation, Kaiser Permanente (USA), has developed into a prepaid health plan facility serving 8.4 million members in nine states and in Washington, DC, within the United States.
openaire +4 more sources
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification [PDF]
The article presents a new multi-label comprehensive image dataset from flexible endoscopy, colonoscopy and capsule endoscopy, named ERS. The collection has been labeled according to the full medical specification of 'Minimum Standard Terminology 3.0' (MST 3.0), describing all possible findings in the gastrointestinal tract (104 possible labels ...
arxiv
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video [PDF]
Conventional Endoscopy (CE) and Wireless Capsule Endoscopy (WCE) are known tools for diagnosing gastrointestinal (GI) tract disorders. Detecting the anatomical location of GI tract can help clinicians to determine a more appropriate treatment plan, can reduce repetitive endoscopy and is important in drug-delivery.
arxiv