TY  - JOUR
AU  - Jorge Bernal
AU  - F. Javier Sanchez
AU  - Gloria Fernandez Esparrach
AU  - Debora Gil
AU  - Cristina Rodriguez de Miguel
AU  - Fernando Vilariño
PY  - 2015//
TI  - WM-DOVA Maps for Accurate Polyp Highlighting in Colonoscopy: Validation vs. Saliency Maps from Physicians
T2  - CMIG
JO  - Computerized Medical Imaging and Graphics
SP  - 99
EP  - 111
VL  - 43
KW  - Polyp localization
KW  - Energy Maps
KW  - Colonoscopy
KW  - Saliency
KW  - Valley detection
N2  - We introduce in this paper a novel polyp localization method for colonoscopy videos. Our method is based on a model of appearance for polyps which defines polyp boundaries in terms of valley information. We propose the integration of valley information in a robust way fostering complete, concave and continuous boundaries typically associated to polyps. This integration is done by using a window of radial sectors which accumulate valley information to create WMDOVA1 energy maps related with the likelihood of polyp presence. We perform a double validation of our maps, which include the introduction of two new databases, including the first, up to our knowledge, fully annotated database with clinical metadata associated. First we assess that the highest value corresponds with the location of the polyp in the image. Second, we show that WM-DOVA energy maps can be comparable with saliency maps obtained from physicians' fixations obtained via an eye-tracker. Finally, we prove that our method outperforms state-of-the-art computational saliency results. Our method shows good performance, particularly for small polyps which are reported to be the main sources of polyp miss-rate, which indicates the potential applicability of our method in clinical practice.
SN  - 0895-6111
L1  - http://refbase.cvc.uab.es/files/BSF2015.pdf
UR  - http://dx.doi.org/10.1016/j.compmedimag.2015.02.007
N1  - MV; IAM; 600.047; 600.060; 600.075;SIAI
ID  - Jorge Bernal2015
ER  -