TY  - GEN
SP  - 89
UR  - https://doi.org/10.1007/978-3-319-10404-1_12
KW  - Algorithms
KW  -  Colonic Polyps
KW  -  Colonoscopy
KW  -  Humans
KW  -  Image Enhancement
KW  -  Image Interpretation
KW  -  Computer-Assisted
KW  -  Information Storage and Retrieval
KW  -  Microscopy
KW  -  Reproducibility of Results
KW  -  Sensitivity and Specificity
KW  -  User-Computer Interface
KW  -  Scale Invariant Feature Transform
KW  -  Video Retrieval
KW  -  Confocal Laser Endomicroscopy
KW  -  Temporal Segmentation
KW  -  Scale Invariant Feature Transform Descriptor
TI  - Semi-automated query construction for content-based endomicroscopy video retrieval
N2  - Content-based video retrieval has shown promising results to help physicians in their interpretation of medical videos in general and endomicroscopic ones in particular. Defining a relevant query for CBVR can however be a complex and time-consuming task for non-expert and even expert users. Indeed, uncut endomicroscopy videos may very well contain images corresponding to a variety of different tissue types. Using such uncut videos as queries may lead to drastic performance degradations for the system. In this study, we propose a semi-automated methodology that allows the physician to create meaningful and relevant queries in a simple and efficient manner. We believe that this will lead to more reproducible and more consistent results. The validation of our method is divided into two approaches. The first one is an indirect validation based on per video classification results with histopathological ground-truth. The second one is more direct and relies on perceived inter-video visual similarity ground-truth. We demonstrate that our proposed method significantly outperforms the approach with uncut videos and approaches the performance of a tedious manual query construction by an expert. Finally, we show that the similarity perceived between videos by experts is significantly correlated with the inter-video similarity distance computed by our retrieval system.
CY  - Boston, MA, USA
T3  - Lecture Notes in Computer Science
A1  - Tafreshi, MK
A1  - Linard, N
A1  - André, B
A1  - Ayache, N
A1  - Vercauteren, T
PB  - Springer, Cham
Y1  - 2014/09/14/
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ID  - discovery1450866
AV  - public
EP  - 96
ER  -