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LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

D Franklin Vinod1, V Vasudevan1

  • 1Department of Information Technology, Kalasalingam University, Virudhunagar, Tamil Nadu 626126, India.

Current Medical Imaging Reviews
|January 25, 2020
PubMed
Summary
This summary is machine-generated.

Local N-ary Ternary Patterns (LNTP) and Modified Deep Belief Network (MDBN) effectively classify medical images by extracting features and reducing noise. This big data analytics approach enhances accuracy and runtime for medical image processing applications.

Keywords:
Big datadeep belief networkheterogeneous dataimage set classificationlocal ternary patternspattern recognition

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Area of Science:

  • Computer Science
  • Medical Imaging
  • Data Science

Background:

  • Big Data analytics faces challenges in volume, variety, and velocity.
  • Medical image processing requires effective image set classification.
  • Multi-directional image views necessitate advanced analysis techniques.

Purpose of the Study:

  • To propose Local N-ary Ternary Patterns (LNTP) and Modified Deep Belief Network (MDBN) for medical image analysis.
  • To address dimensionality and robustness issues in big data analytics for images.
  • To improve the accuracy and efficiency of medical image classification.

Main Methods:

  • Utilizes filtering techniques to remove image noise.
  • Applies smoothening and normalization to enhance image intensity.
  • Employs LNTP for heterogeneous image categorization and feature extraction.
  • Uses Modified Deep Belief Network (MDBN) for classifying normal and abnormal image categories.

Main Results:

  • LNTP categorizes heterogeneous images and extracts relevant features.
  • MDBN effectively classifies image sets into normal and abnormal categories.
  • The proposed LNTP-MDBN method demonstrates improved classification accuracy.

Conclusions:

  • The LNTP-MDBN approach effectively alleviates dimensionality and robustness issues in medical image analysis.
  • Comparative analysis confirms the effectiveness of LNTP-MDBN over existing models.
  • The study highlights the potential of big data analytics in medical image processing.