Web-Based Solution for Acquisition, Processing, Archiving and Diffusion of Endoscopy Studies

Laranjo, Isabel; Braga, J.; Assunção, Domingos; Silva, Andreia; Rolanda, Carla; Lopes, Luís; Correia‐Pinto, Jorge; Alves, Victor

doi:10.1007/978-3-319-00551-5_39

Cited by 8 publications

(2 citation statements)

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“…The MIVprocessing is integrated in the MyEndoscopy system developed by Laranjo et al [16]. The MyEndoscopy is a web-based application system, which allows the acquisition, processing, archiving and diffusion of endoscopic procedure results [16].…”

Section: Proposed Architecturementioning

confidence: 99%

Video Processing Architecture: A Solution for Endoscopic Procedures Results

Laranjo

Braga

Assunção

et al. 2014

Ambient Intelligence - Software and Applications

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Abstract. In this paper we propose an architecture for processing endoscopic procedures results. The goal is to create a complete system capable of processing any type of endoscopic multimedia results, in order to overcome the most common issues in the endoscopic domain (e.g. video's long-duration, gastroenterologist's possible difficulty to maintain the focus and efficiency during the viewing process, imperfections in images/videos). It was this scenario that led to the conception of the MIVprocessing solution, which will address these and other problems, providing an added value to the elaboration of diagnoses. The MIVprocessing is composed of five tasks: Video Summarization (elimination of the "non-informative" frames); Pre-Processing (correction/improvement of the frames); Pre-Detection; Segmentation; and Feature Extraction and Classification. The idea is to create a framework that brings together the capabilities of different but at the same time complementary concepts (e.g. image and signal processing, machine learning, computer vision). This conjugation applied to the endoscopic domain provides a set of features capable of improving the gastroenterologist's activities during and after the procedure.

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Section: Proposed Architecturementioning

confidence: 99%

Video Processing Architecture: A Solution for Endoscopic Procedures Results

Laranjo

Braga

Assunção

et al. 2014

Ambient Intelligence - Software and Applications

Self Cite

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“…In terms of storage organization, [27] propose a system with a distributed architecture that uses a NoSQL database to provide access to videos within a hospital and across different health care institutions [28]. They also present a device for video acquisition and an annotation system that enables content querying [112]. Münzer et al [160] show that the circular content area of endoscopic videos can be exploited to considerably improve encoding efficiency and the discarding of irrelevant segments (blurry, out-of-patient or dark and noisy) can save up to 20 % of the storage space [161].…”

Section: Compression and Storagementioning

confidence: 99%

Content-based processing and analysis of endoscopic images and videos: A survey

Münzer

Schoeffmann

Böszörményi

2017

Multimed Tools Appl

105

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In recent years, digital endoscopy has established as key technology for medical screenings and minimally invasive surgery. Since then, various research communities with manifold backgrounds have picked up on the idea of processing and automatically analyzing the inherently available video signal that is produced by the endoscopic camera. Proposed works mainly include image processing techniques, pattern recognition, machine learning methods and Computer Vision algorithms. While most contributions deal with realtime assistance at procedure time, the post-procedural processing of recorded videos is still in its infancy. Many post-processing problems are based on typical Multimedia methods like indexing, retrieval, summarization and video interaction, but have only been sparsely addressed so far for this domain. The goals of this survey are (1) to introduce this research field to a broader audience in the Multimedia community to stimulate further research, (2) to describe domain-specific characteristics of endoscopic videos that need to be addressed in a pre-processing step, and (3) to systematically bring together the very diverse research results for the first time to provide a broader overview of related research that is currently not perceived as belonging together.

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