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  • Conference proceedings
  • © 2019

Computer Aided Intervention and Diagnostics in Clinical and Medical Images

Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 31)

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Table of contents (30 papers)

  1. Front Matter

    Pages i-vii
  2. Differential Coding-Based Medical Image Compression

    • P. Chitra, M. Mary Shanthi Rani
    Pages 11-19
  3. Harmonization of White and Gray Matter Features in Diffusion Microarchitecture for Cross-Sectional Studies

    • Prasanna Parvathaneni, Shunxing Bao, Allison Hainline, Yuankai Huo, Kurt G. Schilling, Hakmook Kang et al.
    Pages 21-29
  4. Efficient Segmentation of Medical Images Using Dilated Residual Networks

    • Lokeswara Rao Bonta, N. Uday Kiran
    Pages 39-47
  5. An Amplifying Image Approach: Non-iterative Multi Coverage Image Fusion

    • K. Elaiyaraja, M. Senthil Kumar, L. Karthikeyan
    Pages 71-80
  6. Secured Transmission of Medical Images in Radiology Using AES Technique

    • Pavithra Prabhu, K. N. Manjunath
    Pages 103-112
  7. A Review on Haze Removal Techniques

    • K. P. Senthilkumar, P. Sivakumar
    Pages 113-123
  8. Caries Detection in Non-standardized Periapical Dental X-Rays

    • D. Osterloh, Serestina Viriri
    Pages 143-152
  9. Segmentation of Type II Diabetic Patient’s Retinal Blood Vessel to Diagnose Diabetic Retinopathy

    • T. Jemima Jebaseeli, C. Anand Deva Durai, J. Dinesh Peter
    Pages 153-160
  10. Prediction of Two Year Survival Among Patients of Non-small Cell Lung Cancer

    • Yash Dagli, Saumya Choksi, Sudipta Roy
    Pages 169-177
  11. Prediction of Chronic Kidney Diseases Using Deep Artificial Neural Network Technique

    • Himanshu Kriplani, Bhumi Patel, Sudipta Roy
    Pages 179-187
  12. Monitoring Acute Lymphoblastic Leukemia Therapy with Stacked Denoising Autoencoders

    • Jakob Scheithe, Roxane Licandro, Paolo Rota, Michael Reiter, Markus Diem, Martin Kampel
    Pages 189-197

About this book

This book is a compendium of the ICCMIA 2018 proceedings, which provides an ideal reference for all medical imaging researchers and professionals to explore innovative methods and analyses on imaging technologies for better prospective patient care.

This work serves as an exclusive source for new computer assisted clinical and medical developments in imaging diagnosis, intervention and analysis. It includes articles on computer assisted medical scanning techniques, computer-aided diagnosis, robotic surgery and imaging, imaging genomics, clinically-oriented imaging physics and informatics, augmented-reality medical visualization, imaging modalities, computerized radiology, oncology, and surgery. Moreover, information on non-medical imaging that has medical applications such as multi-photon microscopy and confocal, photoacoustic imaging, optical microendoscope, infra-red radiation, and other imaging modalities is also represented.

Editors and Affiliations

  • Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

    J. Dinesh Peter

  • Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, USA

    Steven Lawrence Fernandes

  • Brazilian Computer Society, Aalcides Platiny Alves Batista , Porto Alegre, Brazil

    Carlos Eduardo Thomaz

  • School of Computer Science, University of KwaZulu-Natal, Durban, South Africa

    Serestina Viriri

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access