Skip to Main content Skip to Navigation
Conference papers

Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance

Abstract : Abstract. Esophageal adenocarcinoma arises from Barrett’s esophagus, which is the most serious complication of gastroesophageal reflux disease. Strategies for screening involve periodic surveillance and tissue biopsies. A major challenge in such regular examinations is to record and track the disease evolution and re-localization of biopsied sites to provide targeted treatments. In this paper, we extend our original inter-operative relocalization framework to provide a constrained image based search for obtaining the best view-point match to the live view. Within this context we investigate the effect of, (a) the choice of feature descriptors and color-space, (b) filtering of uninformative frames, (c) endoscopic modality, for view-point localization. Our experiments indicate an improvement in the best view-point retrieval rate to [92%, 87%] from [73%, 76%] (in our previous approach) for NBI and WL.
Complete list of metadatas

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-01203463
Contributor : Anant Suraj Vemuri <>
Submitted on : Friday, October 16, 2015 - 10:46:49 PM
Last modification on : Thursday, February 7, 2019 - 2:36:32 PM
Document(s) archivé(s) le : Monday, January 18, 2016 - 5:57:44 AM

File

anant_MCBR_2015_compressed.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01203463, version 1

Collections

Citation

Anant S. Vemuri, Stéphane Nicolau, Jacques Marescaux, Luc Soler, Nicholas Ayache. Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance . Medical Content-based Retrieval for Clinical Decision Support, Tanveer Syeda-Mahmood; Hayit Greenspan; Anant Madabhushi, Oct 2015, Munich, Germany. pp.1-8. ⟨hal-01203463⟩

Share

Metrics

Record views

295

Files downloads

129