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^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
Pages	4055-4058
Number of pages	4
Publication status	Published - 2008
Event	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC Duration: 2008 Aug 20 → 2008 Aug 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

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

Cite this

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 et al.

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.

Research output: Chapter in Book/Report/Conference proceeding › 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.

@inproceedings{23254a1c3ee94828a12733e281a5f0a1,

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

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.",

author = "Junghoon Lee and Joosung Lee and Sangha Song and Hyunsook Lee and Kyoungjoung Lee and Youngro Yoon",

year = "2008",

language = "English",

isbn = "9781424418152",

pages = "4055--4058",

booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",

note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",

}

TY - GEN

T1 - Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization

AU - Lee, Junghoon

AU - Lee, Joosung

AU - Song, Sangha

AU - Lee, Hyunsook

AU - Lee, Kyoungjoung

AU - Yoon, Youngro

PY - 2008

Y1 - 2008

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=61849110416&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61849110416&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:61849110416

SN - 9781424418152

SP - 4055

EP - 4058

BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

Y2 - 20 August 2008 through 25 August 2008

ER -

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

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this