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Studying Disagreements among Retinal Experts through Image Analysis

Abstract : In recent years, many image analysis algorithms have been presented to assist Diabetic Retinopathy (DR) screening. The goal was usually to detect healthy examination records automatically, in order to reduce the number of records that should be analyzed by retinal experts. In this paper, a novel application is presented: these algorithms are used to 1) discover image characteristics that sometimes cause an expert to disagree with his/her peers and 2) warn the expert whenever these characteristics are detected in an examination record. In a DR screening program, each examination record is only analyzed by one expert, therefore analyzing disagreements among experts is challenging. A statistical framework, based on Parzen- windowing and the Patrick-Fischer distance, is presented to solve this problem. Disagreements among eleven experts from the Ophdiat screening program were analyzed, using an archive of 25,702 examination records.
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https://hal.archives-ouvertes.fr/hal-00782745
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Submitted on : Wednesday, January 30, 2013 - 3:12:33 PM
Last modification on : Saturday, June 25, 2022 - 9:04:19 PM

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Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, Mohammed Zakarya Droueche, Bruno Lay, et al.. Studying Disagreements among Retinal Experts through Image Analysis. EMBC 2012: International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2012, San Diego, United States. ⟨10.1109/EMBC.2012.6347351⟩. ⟨hal-00782745⟩

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