Parcourir par sujet "Endoscopy"
Voici les éléments 1-20 de 26
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An artificial neural network architecture for non-parametric visual odometry in wireless capsule endoscopy
(2017)Wireless capsule endoscopy is a non-invasive screening procedure of the gastrointestinal (GI) tract performed with an ingestible capsule endoscope (CE) of the size of a large vitamin pill. Such endoscopes are equipped with ... -
Beyond lesion detection: Towards semantic interpretation of endoscopy videos
(2017)Several computer-based medical systems have been proposed for automatic detection of abnormalities in a variety of medical imaging domains. The majority of these systems are based on binary supervised classification ... -
Clinical Assessment and Diagnosis of Lower Urinary Tract Symptoms/Benign Prostatic Hyperplasia: Europe
(2014)Lower urinary tract symptoms (LUTS) may have a multifactorial aetiology, and clinical assessment of men with LUTS should aim to exclude other conditions that cause LUTS and diagnose benign prostatic hyperplasia (BPH) and ... -
Deep Endoscopic Visual Measurements
(2019)Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body structures, and their application is rapidly extending to cover the increasing needs for accurate therapeutic interventions. ... -
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
(2018)This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only ... -
DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy
(2018)Wireless Capsule Endoscopy (WCE) is a noninvasive diagnostic technique enabling the inspection of the whole gastrointestinal (GI) tract by capturing and wirelessly transmitting thousands of color images. Proprietary software ... -
Enabling distributed summarization of wireless capsule endoscopy video
(2010)The introduction of distributed or parallel medical video processing is a constant growing need, because despite the large increase of modern workstations computational power, the amount of data in medical videos is growing ... -
Endoscopic Endonasal Transsphenoidal Removal of Recurrent and Regrowing Pituitary Adenomas: Experience on a 59-Patient Series
(2013)OBJECTIVE: The nature of the pituitary adenomas itself exposes the possibility of a recurrence of the tumor. The aim of this study was to evaluate the effectiveness of the endoscopic endonasal transsphenoidal approach for ... -
Endoscopic single-image size measurements
(2020)In the practice of clinical gastrointestinal endoscopy, precise estimation of the size of a lesion/finding, such as a polyp, is quintessential in diagnosis, e.g. risk estimation for malignancy. However, various studies ... -
Endoscopic sinus surgery outcomes in CRS: quality of life and correlations with NOSE scale in a prospective cohort study
(2021)Background: To evaluate the impact of endoscopic sinus surgery (ESS) on clinical outcomes, quality of life (QoL) and Nasal Obstruction and Symptom Evaluation (NOSE) scale in patients with CRSwNP and CRSsNP. An additional ... -
EndoVAE: Generating Endoscopic Images with a Variational Autoencoder
(2022)The generalization performance of deep learning models is closely associated with the number and diversity of data available upon training. While in many applications there is a large number of data available in public, ... -
Enhanced CNN-Based gaze estimation on wireless capsule endoscopy images
(2021)Wireless capsule endoscopy (WCE) is a modality used for the non-invasive examination of the gastrointestinal (GI) tract. Physicians diagnose pathologies in images derived from Capsule Endoscopy (CE) using specific gaze ... -
Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images Based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization
(2021)Wireless capsule endoscopy (WCE) constitutes a medical imaging technology developed for the endoscopic exploration of the gastrointestinal (GI) tract, whereas it provides a more comfortable examination method, in comparison ... -
IF3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps
(2022)The detection of abnormalities in the gastrointestinal (GI) tract, including precancerous lesions, is substantially subject to expert knowledge and experience. To address the challenge of automated lesion risk assessment, ... -
Intelligent visual localization of wireless capsule endoscopes enhanced by color information
(2017)Wireless capsule endoscopy (WCE) is performed with a miniature swallowable endoscope enabling the visualization of the whole gastrointestinal (GI) tract. One of the most challenging problems in WCE is the localization of ... -
Investigating cross-dataset abnormality detection in endoscopy with a weakly-supervised multiscale convolutional neural network
(2018)The detection of abnormalities in endoscopic video frames can contribute in the early and more accurate detection of pathologic conditions. In this paper we present a novel Convolutional Neural Network (CNN) architecture ... -
Look-behind fully convolutional neural network for computer-aided endoscopy
(2019)In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed ... -
MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder
(2019)The interpretation of medical images depends on physicians' experience. Over time, physicians develop their ability to examine the images, and this is usually reflected on gaze patterns they follow to observe visual cues, ... -
Robotic validation of visual odometry for wireless capsule endoscopy
(2016)Wireless capsule endoscopy (WCE) is the prime diagnostic modality for the small-bowel. It consists in a swallowable color camera that enables the visual detection and assessment of abnormalities, without patient discomfort. ...