Paper Info
Title
Effective and Accelerated Informative Frame Filtering in Colonoscopy Videos using Graphics Processing Unit.
Abstract
Colonoscopy is an endoscopic technique that allows a physician to inspect the mucosa of the human colon. It has contributed to a marked decline in the number of colorectal cancer related deaths. However, recent data suggest that there is a significant (4-12%) miss-rate for the detection of even large polyps and cancers. To address this, we have investigated automated post-procedure and real-time quality measurements by analyzing colonoscopy videos. One of the fundamental steps is separating informative frames from non-informative frames, a process called Informative Frame Filtering (IFF). Non-informative frames comprise out-of-focus frames and frames lacking typical features of the colon. We introduce a new IFF algorithm in this paper, which is much more accurate than our previous one. Also, we exploit the many-core GPU (Graphics Processing Unit) to create an IFF software module for High Performance Computing (HPC). Code optimizations embedded in the many-core GPU resulted in a 40-fold acceleration compared to CPU-only implementation for our IFF software module.
Year
Venue
Keywords
2011
BIOSIGNALS 2011
Colonoscopy,CUDA,GPU,CPU multi-threading,Informative frame filtering
Field
DocType
Citations 
Computer vision,Multithreading,Heuristic (computer science),CUDA,Effective method,Computer science,Filter (signal processing),Coding (social sciences),Software,Artificial intelligence,Computer hardware,Graphics processing unit
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Venkata Praveen Karri100.34
JungHwan Oh252044.87
Wallapak Tavanapong353563.27
Johnny Wong450049.19
Piet C. De Groen537229.89