Authors:
Kazuki Hashimoto
1
;
Ryosuke Iida
1
;
Kouich Hirata
1
;
Kimiko Matsuoka
2
and
Shigeki Yokoyama
3
Affiliations:
1
Kyushu Institute of Technology, Kawazu 680-4, Iizuka 820-8502, Japan
;
2
Osaka General Medical Center, Bandaihigashi 3-1-56, Sumiyoshi, Ohsaka 558-8558, Japan
;
3
KD-ICONS, Ohmoriminami 4-6-15-304, Ohta, Tokyo 143-0013, Japan
Keyword(s):
Geckler Classification, Gram Stained Smears Images, Sputum, Buccal Squamous Epithelial (BSE) Cells, Leukocytes.
Abstract:
A Geckler classification is a criterion how the smear image is quality based on the number of buccal squamous
epithelial (BSE) cells and leukocytes in the Gram stained smears images per 100× field for sputum. The
Geckler classification then determines which of images is valuable to microscope testing for the Gram stained
smears images per 1,000× field for sputum. In this paper, we develop the system to detect the Geckler
classification from Gram stained smears images per 100× field for sputum. In this system, first we detect the
regions of BSE cells and leukocytes and then construct the classifier of the BSE cells and leukocytes by SVM
and DNN. Then, we detect the Geckler class of every test image by detecting the candidate regions and by
applying the classifier.