Histopathological diagnostic support technology using higher-order local autocorrelation features

2009 International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2009

Volumn , Issue , 2009, Pages 61-65

  Nosato, Hirokazu ^a   Sakanashi, Hidenori ^a   Murakawa, Masahiro ^a   Higuchi, Tetsuya ^a   Otsu, Nobuyuki ^a   Terai, Kensuke ^b   Hiruta, Nobuyuki ^b   Kameda, Noriaki ^b  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b TOHO UNIVERSITY SAKURA MEDICAL CENTER   (Japan)

Author keywords

Automatic screening; Biopsy; Cancer; Histopathological diagnosis; HLAC

Indexed keywords

AUTOMATIC SCREENING; CANCEROUS TISSUES; HIGHER ORDER LOCAL AUTOCORRELATION; HISTOPATHOLOGICAL DIAGNOSIS; NORMAL TISSUE; SOCIAL PROBLEMS; SUPPORT TECHNOLOGY;

BIOPSY; CORRELATION DETECTORS; HISTOLOGY; INTELLIGENT SYSTEMS;

TISSUE;

EID: 77749285833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BLISS.2009.29     Document Type: Conference Paper

References (6)

1. CANCER STATISTICS IN JAPAN 2008. Foundation for Pamotion of Cawer Research (FPCR). 2008.
2. N. Otsu and T.Kurita. "A new scheme for practical flexible and intelligent vision systems," in Proc. IAPR Workshop on Computer Vision 1988, pp. 431-435.
3. T. Nanri and N. Otsu. "Unsupervised abnormality detection in video surveillance," in Proc. IAPR Conf. on Machine Vision Application, 2005. pp. 57-577.
4. T. Kobayashi T. Hosaca. S. Mimura T. Hayashi. and N. Otsu. HIac approach to automatic object counting." in IEEE Bio-inspired, Learning, and Intelligent System for Security (BLISS). 2008. pp. 40-45.
5. R. 0. Duda P. E. Hart. and 0. G. Stork. Pattern Clasiffication. Wiley-Interscienoe, 2005.
6. N. Otsu. "Diseriminant and least squares threshold selection:" in 4IJCPR. 1978. P. 592-516.