Classifying Gram Positive Cocci and Gram Negative Bacilli in Gram Stained Smear Images-Reference-Cited by-同舟云学术

Classifying Gram Positive Cocci and Gram Negative Bacilli in Gram Stained Smear Images

Published:2022-07 Issue: Volume: Page:
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Container-title:2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)
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Author:

Kawano Ibuki¹,Kurumida Eri¹,Terada Syoma²,Hirata Kouichi¹

Affiliation:

1. Kyushu Institute of Technology,Department of Artificial Intelligence,Iizuka,Japan,820-8502

2. Kyushu Institute of Technology,Graduate School of Computer Science and Systems Engineering,Iizuka,Japan,820-8502

Publisher

IEEE

Link

Reference16 articles.

1. Semi-automatic segmentation, detection and classification of Gram stained bacteria in blood sample;lejon;Master thesis,2016

2. Foundations of clinical microbial testing for medical care of infectious diseases and infection control (in Japanese);mitsuda,2004

3. An improvement of Gram-negative bacteria identification using convolution neural network with fine tuning Telekomnika;satoto,2020

4. Very deep convolution networks for large-scale image recognition;simonyan;Proc ICLR’15,2015

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2. Detecting Infectious Disease-Causing Bacteria from Gram Stained Smears Images;2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI);2023-07-08

3. Object Detection as Gram Positive Cocci in Gram Stained Smear Images;2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI);2022-07