Detection of Fundus Lesions Using Classifier Selection
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概要
- 論文の詳細を見る
A system for detecting fundus lesions caused by diabetic retinopathy from fundus images is being developed. The system can screen the images in advance in order to reduce the inspection workload on doctors. One of the difficulties that must be addressed in completing this system is how to remove false positives (which tend to arise near blood vessels) without decreasing the detection rate of lesions in other areas. To overcome this difficulty, we developed classifier selection according to the position of a candidate lesion, and we introduced new features that can distinguish true lesions from false positives. A system incorporating classifier selection and these new features was tested in experiments using 55 fundus images with some lesions and 223 images without lesions. The results of the experiments confirm the effectiveness of the proposed system, namely, degrees of sensitivity and specificity of 98% and 81%, respectively.
- （社）電子情報通信学会の論文
- 2009-05-01
著者
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KATO Satoshi
Department of Orthopaedic Surgery, Kanazawa University
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Kato Satoshi
Department Of Clinical Oncology Institute Of Development Aging And Cancer Tohoku University
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Sako Hiroshi
Central Research Laboratory Hitachi Ltd.
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HIMAGA Mitsutoshi
Hitachi, Ltd.
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NAGAYOSHI Hiroto
Central Research Laboratory, Hitachi, Ltd.
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HIRAMATSU Yoshitaka
Central Research Laboratory, Hitachi Ltd.
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Nagayoshi Hiroto
Central Research Laboratory Hitachi Ltd.
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Himaga Mitsutoshi
Hitachi-omron Terminal Solutions Corp.
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Himaga Mitsutoshi
Hitachi Ltd.
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Kato Satoshi
Department Of Ophthalmology The University Of Tokyo School Of Medicine
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Kato Satoshi
Department Of Cardiology Komatsushima Red Cross Hospital
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Hiramatsu Yoshitaka
Central Research Laboratory Hitachi Ltd.
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