Wireless Capsule Endoscopy
Wireless Capsule Endoscopy (WCE) is a clinically viable and cost-effective alternative to traditional imaging methods of the gastrointestinal tract. CCE provides several benefits to patients, clinicians, and the healthcare system, including adding urgently needed capacity to markedly strained services. Analysing CCE videos, however, is resource intensive, represents a time-consuming workload for clinicians, and slows the roll-out of CCE due to staffing constraints.
The main objective of this research project is the development of tools to support the diagnosis of different pathologies through the use of Artificial Intelligence techniques and Machine Learning techniques.
This video shows how the AI system works:
News
Dr. Santi Seguí with the project "Detection of pathologies of the intestinal tract using Artificial Intelligence" has been awarded by the XVIII Prizes of the Social Council of the UB and Bosch i Gimpera-UB Foundation - Premi Caparros šššššš
Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy has been accepted and published in Frontiers in Medicine
We are part of one of the 38 winning projects of the Artificial Intelligence in Health & Care NHS Award: Detecting bowel cancer – using AI to analyse video recordings of the gastrointestinal tract, taken from a swallowable camera, to target bowel cancer and other gastrointestinal disease.
Selected publications
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Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy (2023)
P Gilabert, C Malagelada, H Wenzek, J VitriĆ , S SeguĆ. Frontiers in Artificial Intelligence and Applications 375, 134. -
Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets (2023)
P Gilabert, C Malagelada, H Wenzek, J VitriĆ , S SeguĆ. 18th International Conference on Machine Vision and Applications (MVA), 1-5. -
Self-supervised out-of-distribution detection in wireless capsule endoscopy images (2023)
A QuindĆ³s, P Laiz, J VitriĆ , S SeguĆ. Artificial Intelligence in Medicine, 102606. -
Anatomical landmarks localization for capsule endoscopy studies (2023)
P Laiz, J VitriĆ , P Gilabert, H Wenzek, C Malagelada, A Watson, S SeguĆ. Computerized Medical Imaging and Graphics. -
Cliniciansā Guide to Artificial Intelligence in Colon Capsule EndoscopyāTechnology Made Simple (2023)
Ian I Lei, Gohar J Nia, Elizabeth White, Hagen Wenzek, Santi Segui, Angus JM Watson, Anastasios Koulaouzidis, Ramesh P Arasaradnam. Diagnostics. -
Artificial intelligence for protruding lesions (2023)
X Dray, A Histace, A Robertson, S Segui. Artificial Intelligence in Capsule Endoscopy, 121-148 (BOOK CHAPTER). -
Artificial intelligence for vascular lesions (2023)
P Gilabert, P Laiz, S SeguĆ. Artificial Intelligence in Capsule Endoscopy, 149-162 (BOOK CHAPTER). -
Time-based self-supervised learning for Wireless Capsule Endoscopy (2022)
G Pascual, P Laiz, A GarcĆa, H Wenzek, J VitriĆ , S SeguĆ. Computers in Biology and Medicine, 105631. -
Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy (2022)
P Gilabert, J VitriĆ , P Laiz, C Malagelada, A Watson, H Wenzek, S SeguĆ. Frontiers in Medicine. -
Key research questions for implementation of artificial intelligence in capsule endoscopy (2022)
Romain Leenhardt, et.al. Therapeutic Advances in Gastroenterology. -
Improving CCE video review time with a model based on frame similarity (2022)
P Gilabert, S SeguĆ. Medical Imaging with Deep Learning (MIDL 2022). -
Artificial intelligence for the detection of polyps or cancer with colon capsule endoscopy (2022)
AR Robertson, S Segui, H Wenzek, A Koulaouzidis. Therapeutic Advances in Gastrointestinal Endoscopy. -
WCE polyp detection with triplet based embeddings (2020)
Pablo Laiz, Jordi VitriĆ , Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi SeguĆ. Computerized Medical Imaging and Graphics. Vol 89. -
Using the triplet loss for domain adaptation in WCE (2019)
P Laiz, J Vitria, S SeguĆ. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2019 Workshops.