An Analysis to the Subjective Evaluation Model of a Clinical Image Diagnosis with λ-Fuzzy Measures
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概要
- 論文の詳細を見る
In this study, we describe a subjective evaluation model with the Choquet integral and examine the model structure. Measures derived from human subjectivity do not usually possess additivity, and thus, the fuzzy measures requiring monotonicity instead of additivity can be treated as subjective measures of the person evaluating an object. These values are more or less subjective in medical diagnostic imaging, even though images have no ambiguity and their items are strictly quantified. In the present study, we constructed a Choquet integral model with λ-fuzzy measures that uses input-output data obtained from a physician in order to distinguish a gastric ulcer from a gastric carcinoma. The model parameters were optimised using a method that involves a genetic algorithm. As a result, the items with high importance degrees in the model were consistent with the items estimated by the physician with high importance degrees.
- バイオメディカル・ファジィ・システム学会の論文
著者
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HASHIMOTO Hiroshi
Department of Neurosurgery, Nara Medical University
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Saito Masao
Research Center For Advanced Technologies Tokyo Denki University
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SAITO MASAO
Department of Gastroenterology, Sapporo Hokuyu Hospital
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NOTOMI Kazuhiro
Department of Information and Computer Sciences, Kanagawa Institute of Technology
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Saito Keiichi
Research Center For Advanced Technologies Tokyo Denki University
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Notomi Kazuhiro
Department Of Information And Computer Sciences Kanagawa Institute Of Technology
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Hashimoto Hiroshi
Department Of Adult Disease Jr Tokyo General Hospital
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Hashimoto H
Division Of Quality Control Research Center For Biologicals The Kitasato Institute
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Saito Masao
Department Of Gastroenterology Sapporo Hokuyu Hospital
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