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Smart Atlas for Supporting the Interpretation of probe-based Confocal Laser Endomicroscopy (pCLE) of Gastric Lesions: First Classification Results of a Computer-Aided Diagnosis Software based on Image Recognition

Abstract : pCLE enables microscopic imaging of gastrointestinal mucosal lesions, in vivo and in real time, during an endoscopy procedure. Recent studies have demonstrated that pCLE enables accurate diagnosis of superfcial gastric neoplasia. In parallel, a computer-aided diagnosis software called Smart Atlas has been developed to assist endoscopists with the interpretation of pCLE sequences. This study aims at evaluating the performance of this software for the classifcation of gastric lesions into four pathological classes: healthy stomach, gastric intestinal metaplasia (GIM), dysplasia, and cancer.
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Conference papers
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https://hal.inria.fr/hal-01010762
Contributor : Marzieh Kohandani Tafreshi <>
Submitted on : Friday, June 20, 2014 - 2:00:07 PM
Last modification on : Friday, July 17, 2020 - 10:56:02 AM
Document(s) archivé(s) le : Saturday, September 20, 2014 - 10:56:22 AM

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  • HAL Id : hal-01010762, version 1

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Marzieh Kohandani Tafreshi, Yan-Qing Li, Rapat Pittayanon, Douglas Pleskow, Virendra Joshi, et al.. Smart Atlas for Supporting the Interpretation of probe-based Confocal Laser Endomicroscopy (pCLE) of Gastric Lesions: First Classification Results of a Computer-Aided Diagnosis Software based on Image Recognition. Digestive Disease Week (DDW 2014), May 2014, Chicago, United States. ⟨hal-01010762⟩

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