Welcome to the Workshop on Challenges in Wireless Capsule Endoscopy (CWE)

Digestive system diseases like Crohn’s disease, inflammatory bowel disease, and colorectal cancer, are affecting a large population across the world. Wireless Capsule Endoscopy (WCE) is a good alternative for screening colorectal cancer which is both relatively pain free and eliminates the fear of traditional colonoscopy among patients. WCE carries cameras on board, recording video of the gastro-intestinal (GI) system while traveling through it. WCE can, in principle, screen the entire GI system, requiring little effort from the patient, and the procedure does not require the presence of medical personnel, nor special facilities to perform the screening as the video is recorded continuously and transmitted to a remote system. With decreased cost related to hospital stays along with other benefits (e.g., relatively painless), WCE is seen as a promising alternative to early-stage colorectal cancer detection. 

WCE image/video analysis comes with a set of unique challenges. Due to the passage mechanism through the digestive system, not all frames can be captured. Moreover, the images captured by WCE are of much lower spatial resolution than what most medical professionals are used to analyzing and machine learning experts are used to annotating for the purpose of creating training samples. The loss of temporal and spatial resolution need to be taken into account in downstream analysis of WCE image/video data.  

  Topics (not limited to):

• Classification of pathologies

• Segmentation of pathologies 

• Video summarization

• Visualization 

• Image and video enhancement

• Datasets

• Structure from motion (rigid and non-rigid) 

• 3D reconstruction of nonrigid anatomical structures

Paper Submssion Guidelines:

A paper can be submitted via the Microsoft CMT 

The Proceedings of the CWE 2024 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer’s Computer Science Proceedings guidelines: 12-15 pages.

Articles should be prepared according to the LCNS guidelines and templates available.

All papers must be submitted in electronic format as PDF files before the submission deadline. 

It has been developed by ColorLab, NTNU.