人工智能
计算机科学
Python(编程语言)
细菌
深度学习
模式识别(心理学)
上下文图像分类
机器学习
图像(数学)
生物
遗传学
操作系统
作者
Treesukon Treebupachatsakul,Suvit Poomrittigul
出处
期刊:2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
日期:2019-06-01
被引量:49
标识
DOI:10.1109/itc-cscc.2019.8793320
摘要
An automizing process for bacteria recognition becomes attractive to reduce the analyzing time and increase the accuracy of diagnostic process. This research study possibility to use image classification and deep learning method for classify genera of bacteria. We propose the implementation method of bacteria recognition system using Python programming and the Keras API with TensorFlow Machine Learning framework. The implementation results have confirmed that bacteria images from microscope are able to recognize the genus of bacterium. The experimental results compare the deep learning methodology for accuracy in bacteria recognition standard resolution image use case. Proposed method can be applied the high-resolution datasets till standard resolution datasets for prediction bacteria type. However, this first study is limited to only two genera of bacteria.
科研通智能强力驱动
Strongly Powered by AbleSci AI