WM-DOVA maps for accurate polyp highlighting in colonoscopy : Validation vs. saliency maps from physicians
Bernal del Nozal, Jorge (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Sánchez, F. Javier (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Fernández-Esparrach, Gloria (Hospital Clínic i Provincial de Barcelona)
Gil, Debora (Centre de Visió per Computador)
Rodríguez De Miguel, Cristina (Hospital Clínic i Provincial de Barcelona)
Vilariño, Fernando (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)

Data:	2015
Resum:	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 WM-DOVA (Window Median Depth of Valleys Accumulation) 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.
Ajuts:	Ministerio de Ciencia e Innovación TIN2009-10435 Ministerio de Economía y Competitividad TIN2012-33116
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Colonoscopy ; Energy maps ; Polyp localization ; Saliency ; Valley detection
Publicat a:	Computerized Medical Imaging and Graphics, Vol. 43 (July 2015) , p. 99-111, ISSN 1879-0771

DOI: 10.1016/j.compmedimag.2015.02.007

Postprint 28 p, 1.5 MB

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