Diagnosing Bacteria Samples Using Data Mining: Review study-Reference-Cited by-同舟云学术

Diagnosing Bacteria Samples Using Data Mining: Review study

Published:2022-05-31 Issue: Volume: Page:
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Container-title:2022 5th International Conference on Engineering Technology and its Applications (IICETA)
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Author:

Badr Ahmed Adnan¹,Abbas Thekra¹,AboKsour Mohammed Fadhel²

Affiliation:

1. Al-Mustansiryia University,Dept. of Computer Science,Baghdad,Iraq

2. Al-Mustansiryia University,Dept. of Microbiology,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9888261/9888265/09888705.pdf?arnumber=9888705

Reference30 articles.

1. Diagnosis of escherichia coli bacteria patient by data mining;rajaei;Journal of Theoretical and Applied Information Technology,2019

2. Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning

3. Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network

4. A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection

5. An Automated Deep Learning Approach for Bacterial Image Classification;talo;International Conference on Advanced Technologies Computer Engineering and Science (ICATCES2019),2019

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