Advances in Computational Techniques for Biomedical Image Analysis

  • 5h 17m
  • Deepika Koundal, Savita Gupta
  • Elsevier Science and Technology Books, Inc.
  • 2021

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation.

Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems.

In this Book

  • Computational Techniques in Biomedical Image Analysis—Overview
  • Multimodal Medical Image Fusion Using Deep Learning
  • Medical Image Fusion Framework for Neuro Brain Analysis
  • Automated Detection of Intracranial Hemorrhage in Noncontrast Head Computed Tomography
  • Segmentation Techniques for the Diagnosis of Intervertebral Disc Diseases
  • Heartbeat Sound Classification Using Mel-Frequency Cepstral Coefficients and Deep Convolutional Neural Network
  • Comparative Analysis of Classification Techniques for Brain Magnetic Resonance Imaging Images
  • Hybrid Feature Selection-Based Feature Fusion for Liver Disease Classification on Ultrasound Images
  • Discrete Cosine Transform–Based Compressive Sensing Recovery Strategies in Medical Imaging
  • Segmentation-Based Compression Techniques for Medical Images
  • Systematic Survey of Compression Algorithms in Medical Imaging
  • Multilevel Medical Image Encryption for Secure Communication
  • A Modified Digital Signature Algorithm to Improve the Biomedical Image Integrity in Cloud Environment
  • Medical Imaging Security and Forensics—A Systematic Literature Review
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