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4. Diagnosis of Breast Cancer by Malignant Changes in Buccal Epithelium Using Artificial Intelligence, Internet of Things, and Cloud Storage

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Dmitriy Klyushin
Kateryna Golubeva
Natalia Boroday
Dmytro Shervarly
Published in
The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care
Publisher
Springer International Publishing

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Abstract

The chapter introduces a cutting-edge AI system designed for the early diagnosis of breast cancer. By analyzing malignancy-associated changes in buccal epithelium and the fractal properties of chromatin, this system offers a non-invasive and highly sensitive method for screening. The authors combine Artificial Intelligence, Internet of Things, and cloud storage technologies to develop a classifier that distinguishes between healthy individuals and those with breast cancer or fibroadenomatosis. The chapter provides a comprehensive overview of the methodology, including the use of space-filling curves for image analysis and the calculation of the Hurst exponent to assess the fractal dimension of DNA distribution. The results demonstrate the potential of this approach for effective and harmless cancer screening, highlighting the significant advancements in using fractal analysis for early cancer detection.
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previous chapter A Review on Classification and Retrieval of Biomedical Images Using Artificial Intelligence
next chapter Smart IoT Treatment: Making Medical Care More Intelligent
Title
Diagnosis of Breast Cancer by Malignant Changes in Buccal Epithelium Using Artificial Intelligence, Internet of Things, and Cloud Storage
Authors
Dmitriy Klyushin
Kateryna Golubeva
Natalia Boroday
Dmytro Shervarly
Copyright Year
2021
Book
The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

Print ISBN: 978-3-030-75219-4

Electronic ISBN: 978-3-030-75220-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-75220-0_4
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