Automatic identification of shot body region from clinical photographies

Hitoshi Iyatomi, Masahiro Hashimoto, Hiroshi Oka, Masaru Tanaka, Koichi Ogawa

研究成果: Conference contribution

抄録

Administration of clinical photographs taken by commonly used digital camera often requires troublesome manual operation. In this paper, we made a prototype scheme of automatic photographed area identification from clinical images to help or reduce administration task. A total of 8047 clinical photographs taken in department of dermatology, Keio University Hospital, were classified into 11 categories; head, hair, upper limb, lower limb, trunk, palm, sole, back of hand, back of foot, finger & detent and genital; to meet request by several dermatologists and we developed separate linear classifiers for each body region. The developed classifiers achieved an 82.8% in sensitivity (SE) and an 82.0% of specificity (SP) in average. In addition, integration of these classifiers with consideration of the feature space of each body region improved SP of 2.3% and precision (PR) of 3.0% at a maximum when the classification threshold was set to around 75% in SE. The proposed scheme requires only photographs to identify the photographed area and therefore it can be easily applied for DICOM (digital image and communication in medicine) system that is commonly used in clinical practice or other medical database systems.

本文言語English
ホスト出版物のタイトル35th Applied Imagery and Pattern Recognition Workshop, AIPR 2006
出版社Institute of Electrical and Electronics Engineers Inc.
ページ11
ページ数1
ISBN(印刷版)0769527396, 9780769527390
DOI
出版ステータスPublished - 2006
イベント35th Applied Imagery and Pattern Recognition Workshop, AIPR 2006 - Washington, DC, United States
継続期間: 2006 10 112006 10 13

出版物シリーズ

名前Proceedings - Applied Imagery Pattern Recognition Workshop
ISSN(印刷版)1550-5219

Other

Other35th Applied Imagery and Pattern Recognition Workshop, AIPR 2006
CountryUnited States
CityWashington, DC
Period06/10/1106/10/13

ASJC Scopus subject areas

  • Engineering(all)

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