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Advancement of Machine Intelligence in Interactive Medical Image Analysis

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Cover of 'Advancement of Machine Intelligence in Interactive Medical Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend
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    Chapter 2 Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment
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    Chapter 3 Image Segmentation Using Deep Learning Techniques in Medical Images
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    Chapter 4 Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image
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    Chapter 5 Efficient ANN Algorithms for Sleep Apnea Detection Using Transform Methods
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    Chapter 6 Medical Image Processing in Detection of Abdomen Diseases
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    Chapter 7 Multi-reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data
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    Chapter 8 A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application
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    Chapter 9 Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA
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    Chapter 10 Detecting Bone Fracture Using Transfer Learning
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    Chapter 11 GAN-Based Novel Approach for Data Augmentation with Improved Disease Classification
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    Chapter 12 Automated Glaucoma Type Identification Using Machine Learning or Deep Learning Techniques
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    Chapter 13 Glaucoma Detection from Retinal Fundus Images Using RNFL Texture Analysis
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    Chapter 14 Artificial Intelligence Based Glaucoma Detection
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    Chapter 15 Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach
Attention for Chapter 13: Glaucoma Detection from Retinal Fundus Images Using RNFL Texture Analysis
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Citations

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Summary Dimensions citations
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Chapter title
Glaucoma Detection from Retinal Fundus Images Using RNFL Texture Analysis
Chapter number 13
Book title
Advancement of Machine Intelligence in Interactive Medical Image Analysis
DOI 10.1007/978-981-15-1100-4_13
Book ISBNs
978-9-81-151099-1, 978-9-81-151100-4
Authors

Mitra, Anirban, Roy, Somasis, Purkait, Ritushree, Konar, Sukanya, Majumder, Avisa, Chatterjee, Moumita, Roy, Sudipta, Setua, Sanjit Kr.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Other 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Linguistics 1 33%

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