Software for enhanced video capsule endoscopy: challenges for essential progress
DK Iakovidis, A Koulaouzidis - Nature Reviews Gastroenterology & …, 2015 - nature.com
Video capsule endoscopy (VCE) has revolutionized the diagnostic work-up in the field of
small bowel diseases. Furthermore, VCE has the potential to become the leading screening …
small bowel diseases. Furthermore, VCE has the potential to become the leading screening …
Unsupervised reverse domain adaptation for synthetic medical images via adversarial training
To realize the full potential of deep learning for medical imaging, large annotated datasets
are required for training. Such datasets are difficult to acquire due to privacy issues, lack of …
are required for training. Such datasets are difficult to acquire due to privacy issues, lack of …
New vision in video capsule endoscopy: current status and future directions
LR Fisher, WL Hasler - Nature reviews Gastroenterology & hepatology, 2012 - nature.com
Now, more than 10 years after the approval of video capsule endoscopy (VCE), the
technology has become an essential component in the management of several clinical …
technology has become an essential component in the management of several clinical …
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images
Gastrointestinal tract (GIT) infections such as ulcers, bleeding, polyps, Crohn's disease and
cancer are quite familiar today worldwide. Wireless capsule endoscopy (WCE) is an efficient …
cancer are quite familiar today worldwide. Wireless capsule endoscopy (WCE) is an efficient …
Content-based processing and analysis of endoscopic images and videos: A survey
In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …
and minimally invasive surgery. Since then, various research communities with manifold …
Generic feature learning for wireless capsule endoscopy analysis
The interpretation and analysis of wireless capsule endoscopy (WCE) recordings is a
complex task which requires sophisticated computer aided decision (CAD) systems to help …
complex task which requires sophisticated computer aided decision (CAD) systems to help …
Angiodysplasia detection and localization using deep convolutional neural networks
Accurate detection and localization for angiodysplasia lesions is an important problem in
early stage diagnostics of gastrointestinal bleeding and anemia. Gold standard for …
early stage diagnostics of gastrointestinal bleeding and anemia. Gold standard for …
Texture and color based image segmentation and pathology detection in capsule endoscopy videos
P Szczypiński, A Klepaczko, M Pazurek… - Computer methods and …, 2014 - Elsevier
This paper presents an in-depth study of several approaches to exploratory analysis of
wireless capsule endoscopy images (WCE). It is demonstrated that versatile texture and …
wireless capsule endoscopy images (WCE). It is demonstrated that versatile texture and …
Medical image segmentation using deep neural networks with pre-trained encoders
With the growth of popularity of deep neural networks for image analysis, segmentation is
the most common subject of studies applying deep learning to medical imaging and …
the most common subject of studies applying deep learning to medical imaging and …
Reduction of capsule endoscopy reading times by unsupervised image mining
The screening of the small intestine has become painless and easy with wireless capsule
endoscopy (WCE) that is a revolutionary, relatively non-invasive imaging technique …
endoscopy (WCE) that is a revolutionary, relatively non-invasive imaging technique …