Parcourir par sujet "Endoscopy"
Voici les éléments 21-26 de 26
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Towards the substitution of real with artificially generated endoscopic images for CNN training
(2019)The generalization performance in deep learning is linked to the size and the variations of the samples available during training. This is apparent in the domain of computer-aided gastrointestinal tract abnormality detection, ... -
Vidian canal and sphenoid sinus: an MDCT and cadaveric study of useful landmarks in skull base surgery
(2020)Purpose: To present the anatomical variations of vidian canal (VC) and sphenoid sinus (SS), relative to other anatomical landmarks of skull base area, which may be helpful for safer surgical approach to this area. Materials: ... -
Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks
(2017)Various modalities are used for the examination of the gastrointestinal (GI) tract. One such modality is Wireless Capsule Endoscopy (WCE), a non-invasive technique which consists of a swallowable color camera that enables ... -
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames
(2020)Several studies have addressed the problem of abnormality detection in medical images using computer-based systems. The impact of such systems in clinical practice and in the society can be high, considering that they can ... -
Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions
(2016)Graphic image annotations provide the necessary ground truth information for supervised machine learning in image-based computer-aided medical diagnosis. Performing such annotations is usually a time-consuming and ... -
Weakly-supervised lesion detection in video capsule endoscopy based on a bag-of-colour features model
(2017)Robotic video capsule endoscopy (VCE) is a rapidly evolving medical imaging technology enabling more thorough examination and treatment of the gastrointestinal tract than conventional endoscopy technologies. Despite of the ...