Published March 14, 2026 | Version v1
Dataset Open

ANALYSIS OF MEDICAL IMAGES (X-RAY, CT, MRI) BASED ON MACHINE LEARNING

Authors/Creators

  • 1. Department of Technological Machines and Information Systems Asia International University

Description

In modern medicine, automating diagnostic processes and improving detection quality is a pressing issue. This thesis examines methods for analyzing medical images, specifically X-ray and magnetic resonance imaging (MRI) results, using Data Mining technologies. The possibilities of detecting diseases at early stages, improving diagnostic accuracy, and supporting physicians in the decision-making process through data mining technologies are analyzed.

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Additional details

References

  • .Kumar, V., et al. Introduction to Data Mining. Addison Wesley, 2022.
  • .Litjens, G., et al. "A Survey on Deep Learning in Medical Image Analysis." Medical Image Analysis, 2017.
  • 3.LeCun, Y., Bengio, Y., Hinton, G. "Deep Learning." Nature, 2015.
  • .Kermany, D., et al. "Identifying Medical Diagnoses from Images with Deep Learning." Cell, 2018.
  • .Goodfellow, I., Bengio, Y., Courville, A. Deep Learning. MIT Press, 2016.