Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization

Junghoon Lee; Joosung Lee; Sangha Song; Hyunsook Lee; Kyoungjoung Lee; Youngro Yoon

Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization

Junghoon Lee, Joosung Lee, Sangha Song, Hyunsook Lee, Kyoungjoung Lee, Youngro Yoon^*

^*この研究の対応する著者

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

Automatic detection of suspicious pain regions is very useful in the medical digital infrared thermal imaging research area. To detect those regions, we use the SOFES (Survival Of the Fitness kind of the Evolution Strategy) algorithm which is one of the multimodal function optimization methods. We apply this algorithm to famous diseases, such as a foot of the glycosuria, the degenerative arthritis and the varicose vein. The SOFES algorithm is available to detect some hot spots or warm lines as veins. And according to a hundred of trials, the algorithm is very fast to converge.

本文言語	English
ホスト出版物のタイトル	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
ページ	4055-4058
ページ数	4
出版ステータス	Published - 2008
イベント	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC 継続期間: 2008 8月 20 → 2008 8月 25

Other

Other	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
City	Vancouver, BC
Period	08/8/20 → 08/8/25

ASJC Scopus subject areas

コンピュータビジョンおよびパターン認識
信号処理
生体医工学
健康情報学

他のファイルとリンク

引用スタイル

Lee, J., Lee, J., Song, S., Lee, H., Lee, K., & Yoon, Y. (2008). Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" (pp. 4055-4058). [4650100]

Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. / Lee, Junghoon; Lee, Joosung; Song, Sangha その他.

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 4055-4058 4650100.

研究成果: Conference contribution

Lee, J, Lee, J, Song, S, Lee, H, Lee, K & Yoon, Y 2008, Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"., 4650100, pp. 4055-4058, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, 08/8/20.

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abstract = "Automatic detection of suspicious pain regions is very useful in the medical digital infrared thermal imaging research area. To detect those regions, we use the SOFES (Survival Of the Fitness kind of the Evolution Strategy) algorithm which is one of the multimodal function optimization methods. We apply this algorithm to famous diseases, such as a foot of the glycosuria, the degenerative arthritis and the varicose vein. The SOFES algorithm is available to detect some hot spots or warm lines as veins. And according to a hundred of trials, the algorithm is very fast to converge.",

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AU - Yoon, Youngro

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AB - Automatic detection of suspicious pain regions is very useful in the medical digital infrared thermal imaging research area. To detect those regions, we use the SOFES (Survival Of the Fitness kind of the Evolution Strategy) algorithm which is one of the multimodal function optimization methods. We apply this algorithm to famous diseases, such as a foot of the glycosuria, the degenerative arthritis and the varicose vein. The SOFES algorithm is available to detect some hot spots or warm lines as veins. And according to a hundred of trials, the algorithm is very fast to converge.

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Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization

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ASJC Scopus subject areas

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