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Computer Aided Intervention and Diagnostics in Clinical and Medical Images

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Cover of 'Computer Aided Intervention and Diagnostics in Clinical and Medical Images'

Table of Contents

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    Book Overview
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    Chapter 1 Brain Tissue Entropy Changes in Patients with Autism Spectrum Disorder
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    Chapter 2 Differential Coding-Based Medical Image Compression
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    Chapter 3 Harmonization of White and Gray Matter Features in Diffusion Microarchitecture for Cross-Sectional Studies
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    Chapter 4 Deep Neural Architecture for Localization and Tracking of Surgical Tools in Cataract Surgery
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    Chapter 5 Efficient Segmentation of Medical Images Using Dilated Residual Networks
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    Chapter 6 Non-rigid Registration of Brain MR Images for Image Guided Neurosurgery Using Cloud Computing
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    Chapter 7 A Hybrid Fusion of Multimodal Medical Images for the Enhancement of Visual Quality in Medical Diagnosis
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    Chapter 8 An Amplifying Image Approach: Non-iterative Multi Coverage Image Fusion
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    Chapter 9 U-Net Based Segmentation and Multiple Feature Extraction of Dermascopic Images for Efficient Diagnosis of Melanoma
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    Chapter 10 Secured Transmission of Medical Images in Radiology Using AES Technique
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    Chapter 11 A Review on Haze Removal Techniques
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    Chapter 12 Secured Image Transmission in Medical Imaging Applications—A Survey
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    Chapter 13 Evolution of Methods for NGS Short Read Alignment and Analysis of the NGS Sequences for Medical Applications
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    Chapter 14 Caries Detection in Non-standardized Periapical Dental X-Rays
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    Chapter 15 Segmentation of Type II Diabetic Patient’s Retinal Blood Vessel to Diagnose Diabetic Retinopathy
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    Chapter 16 A Novel Corner Elimination Method for the Compression of Wireless Capsule Endoscopic Videos
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    Chapter 17 Prediction of Two Year Survival Among Patients of Non-small Cell Lung Cancer
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    Chapter 18 Prediction of Chronic Kidney Diseases Using Deep Artificial Neural Network Technique
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    Chapter 19 Monitoring Acute Lymphoblastic Leukemia Therapy with Stacked Denoising Autoencoders
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    Chapter 20 Modified Low-Power Built-in Self-test for Image Processing Application
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    Chapter 21 A Hassle-Free Shopping Experience for the Visually Impaired: An Assistive Technology Application
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    Chapter 22 Retina as a Biomarker of Stroke
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    Chapter 23 Distributed Representation of Healthcare Text Through Qualitative and Quantitative Analysis
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    Chapter 24 Detection of Lymph Nodes Using Centre of Mass and Moment Analysis
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    Chapter 25 Estimation of Elbow Joint Angle from Surface Electromyogram Signals Using ANFIS
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    Chapter 26 Video Stabilization for High-Quality Medical Video Compression
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    Chapter 27 Significance of Global Vectors Representation in Protein Sequences Analysis
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    Chapter 28 Texture Analysis on Thyroid Ultrasound Images for the Classification of Hashimoto Thyroiditis
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    Chapter 29 Cluster Based Paddy Leaf Disease Detection, Classification and Diagnosis in Crop Health Monitoring Unit
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    Chapter 30 Detection of Glaucoma Using Anterior Segment Optical Coherence Tomography Images
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Title
Computer Aided Intervention and Diagnostics in Clinical and Medical Images
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-030-04061-1
ISBNs
978-3-03-004060-4, 978-3-03-004061-1
Editors

Peter, J. Dinesh, Fernandes, Steven Lawrence, Eduardo Thomaz, Carlos, Viriri, Serestina

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 9%
Researcher 3 9%
Lecturer 2 6%
Other 0 0%
Unknown 15 47%
Readers by discipline Count As %
Computer Science 7 22%
Engineering 6 19%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 1 3%
Unknown 16 50%