TY - GEN
T1 - Real-Time Instrument Scene Detection in Screening GI Endoscopic Procedures
AU - Zhang, Chuanhai
AU - Tavanapong, Wallapak
AU - Wong, Johnny
AU - Groen, Piet C.De
AU - Oh, Junghwan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - We describe a new and effective real-time solution for detecting video segments showing an instrument used during diagnostic or therapeutic operations in endoscopic procedures. In addition, we present a new method to collect a large training dataset: similarity-based data augmentation. This method automates most of the creation of a large training dataset and prevents extensive manual effort to collect and annotate training data by domain experts. Convolutional Neural Network (CNN) analysis using the training data collected with similarity-based data augmentation yields an average F1 score within 1% of that of the CNN analysis using a large manually collected training dataset.
AB - We describe a new and effective real-time solution for detecting video segments showing an instrument used during diagnostic or therapeutic operations in endoscopic procedures. In addition, we present a new method to collect a large training dataset: similarity-based data augmentation. This method automates most of the creation of a large training dataset and prevents extensive manual effort to collect and annotate training data by domain experts. Convolutional Neural Network (CNN) analysis using the training data collected with similarity-based data augmentation yields an average F1 score within 1% of that of the CNN analysis using a large manually collected training dataset.
KW - CNN
KW - Scene Detection
KW - Similarity Learning
UR - http://www.scopus.com/inward/record.url?scp=85040342841&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040342841&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2017.42
DO - 10.1109/CBMS.2017.42
M3 - Conference contribution
AN - SCOPUS:85040342841
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 720
EP - 725
BT - Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
A2 - Bamidis, Panagiotis D.
A2 - Konstantinidis, Stathis Th.
A2 - Rodrigues, Pedro Pereira
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
Y2 - 22 June 2017 through 24 June 2017
ER -