Automated detection of Mycobacterium tuberculosis using transfer learning

Automated detection of Mycobacterium tuberculosis using transfer learning

Introduction: Quantitative analysis of Mycobacterium tuberculosis using microscope is very critical for diagnosing tuberculosis diseases. Microbiologist encounter several challenges which can lead to misdiagnosis. However, there are 3 main challenges: (1) The size of Mycobacterium tuberculosis is v...

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Bibliographic Details
Main Authors: Abdullahi Umar Ibrahim, Emrah Guler, Meryem Guvenir, Kaya Suer, Sertan Serte, Mehmet Ozsoz
Format: Article
Language:English
Published: The Journal of Infection in Developing Countries 2021-05-01
Series:Journal of Infection in Developing Countries
Subjects:
Mycobacterium tuberculosis
Pretrained-AlexNet
CNN
Transfer Learning
Diagnosis
Online Access:https://jidc.org/index.php/journal/article/view/13532
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https://jidc.org/index.php/journal/article/view/13532

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