{"id":55,"date":"2017-03-03T15:00:45","date_gmt":"2017-03-03T15:00:45","guid":{"rendered":"http:\/\/www.cvc.uab.es\/CVC-Colon\/?page_id=55"},"modified":"2018-10-08T13:25:28","modified_gmt":"2018-10-08T13:25:28","slug":"ivendis","status":"publish","type":"page","link":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/ivendis\/","title":{"rendered":"iVENDIS"},"content":{"rendered":"<p>iVENDIS stands for Intelligent in-Vivo Endoscopic Diagnosis and Intervention Support Systems. Within this project, we aim to provide computer vision tools that can aid endoscopists in two main clinical tasks: guidance to lesions for the case of bronchoscopy image analysis and a prediction of lesion histology for the case of colonoscopy videos. <\/p>\n<figure id=\"attachment_86\" aria-describedby=\"caption-attachment-86\" style=\"width: 1294px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.cvc.uab.es\/CVC-Colon\/wp-content\/uploads\/2017\/03\/pipeline.png\" alt=\"\" width=\"1304\" height=\"458\" class=\"size-full wp-image-86\" srcset=\"https:\/\/pages.cvc.uab.es\/CVC-Colon\/wp-content\/uploads\/2017\/03\/pipeline.png 1304w, https:\/\/pages.cvc.uab.es\/CVC-Colon\/wp-content\/uploads\/2017\/03\/pipeline-300x105.png 300w, https:\/\/pages.cvc.uab.es\/CVC-Colon\/wp-content\/uploads\/2017\/03\/pipeline-768x270.png 768w, https:\/\/pages.cvc.uab.es\/CVC-Colon\/wp-content\/uploads\/2017\/03\/pipeline-1024x360.png 1024w\" sizes=\"auto, (max-width: 1304px) 100vw, 1304px\" \/><figcaption id=\"caption-attachment-86\" class=\"wp-caption-text\">Graphical overview of the current systems being developed by CVC-Colon team<\/figcaption><\/figure>\n<p>For the case of colonoscopy videos, the following tools have been developed within the scope of the project:<br \/>\n-Image acquisition module: we have developed a software that can extract high quality frames during endoscopy intervention, offering higher quality than the snapshots that can be gathered using available video processors.<br \/>\n-Image preprocessing module: automatic detection and correction of specular highlights. You can find more information about this in the following publication:<br \/>\nS\u00e1nchez, F. J., Bernal, J., S\u00e1nchez-Montes, C., de Miguel, C. R., &#038; Fern\u00e1ndez-Esparrach, G. (2017). Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos. Machine Vision and Applications, 28(8), 917-936.<br \/>\n-Real time spatio-temporal stable polyp detection (in collaboration with ENSEA): novel polyp detection method which is specially focused on offering real-time performance and which has been developed with its potential integration into embedded systems for an actual clinical use. You can find more information about this method here:<br \/>\nAngermann, Q., Bernal, J., S\u00e1nchez-Montes, C., Hammami, M., Fern\u00e1ndez-Esparrach, G., Dray, X., &#8230; &#038; Histace, A. (2017). Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based Methodologies for Video Sequences Analysis. In Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures (pp. 29-41). Springer, Cham.<br \/>\n&#8211; Semantic segmentation of colonoscopy images: we have studied the use of trending techniques such as convolutional neural networks to obtain a first complete segmentation of the different elements that appear in the colonoscopy scene (polyps, specular highlights, luminal region). You can find more information in the following reference:<br \/>\nV\u00e1zquez, D., Bernal, J., S\u00e1nchez, F. J., Fern\u00e1ndez-Esparrach, G., L\u00f3pez, A. M., Romero, A., &#8230; &#038; Courville, A. (2017). A benchmark for endoluminal scene segmentation of colonoscopy images. Journal of healthcare engineering, 2017.<br \/>\n&#8211; in-vivo Histology Prediction: we have developed a first algorithm to accurately predict lesion histology. The final method has just been accepted for publication at Endoscopy journal but you can find a preliminary version of the method here:<br \/>\nS\u00e1nchez, F. J., Bernal, J., S\u00e1nchez-Montes, C., de Miguel, C. R., &#038; Fern\u00e1ndez-Esparrach, G. (2017). Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos. Machine Vision and Applications, 28(8), 917-936.<\/p>\n<p>Apart from the different methodologies, we have also developed supporting tools for method validation. One of them is GTCreator, a fully flexible annotation tool that has been designed to ease annotation tasks. You can find more information about the tool in the following reference:<br \/>\nBernal, J., Histace, A., Masana, M., Angermann, Q., S\u00e1nchez-Montes, C., de Miguel, C. R., &#8230; &#038; Fern\u00e1ndez-Esparrach, G. (2018). GTCreator: a flexible annotation tool for image-based datasets. International journal of computer assisted radiology and surgery, 1-11.<\/p>\n<p>Please take a look at the corresponding methodology pages to get more details on each of the tools.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>iVENDIS stands for Intelligent in-Vivo Endoscopic Diagnosis and Intervention Support Systems. Within this project, we aim to provide computer vision tools that can aid endoscopists in two main clinical tasks: guidance to lesions for the case of bronchoscopy image analysis and a prediction of lesion histology for the case of colonoscopy videos. For the case &#8230; <a title=\"iVENDIS\" class=\"read-more\" href=\"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/ivendis\/\" aria-label=\"Read more about iVENDIS\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-55","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages\/55","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/comments?post=55"}],"version-history":[{"count":2,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages\/55\/revisions"}],"predecessor-version":[{"id":117,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages\/55\/revisions\/117"}],"wp:attachment":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/media?parent=55"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}