Automatic identification of shot body region from clinical photographies

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publication35th Applied Imagery and Pattern Recognition Workshop, AIPR 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Print)0769527396, 9780769527390
Publication statusPublished - 2006
Externally publishedYes
Event35th Applied Imagery and Pattern Recognition Workshop, AIPR 2006 - Washington, DC, United States
Duration: 2006 Oct 112006 Oct 13

Publication series

NameProceedings - Applied Imagery Pattern Recognition Workshop
ISSN (Print)1550-5219


Other35th Applied Imagery and Pattern Recognition Workshop, AIPR 2006
Country/TerritoryUnited States
CityWashington, DC


  • CBIR
  • Clinical image
  • Image retrieval

ASJC Scopus subject areas

  • Engineering(all)


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