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Precision Molecular Pathology of Glioblastoma

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Cover of 'Precision Molecular Pathology of Glioblastoma'

Table of Contents

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    Book Overview
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    Chapter 1 Epidemiology and Etiology of Glioblastoma
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    Chapter 2 The Role of Molecular Genetics of Glioblastoma in the Clinical Setting
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    Chapter 3 Neurosurgical Approach to the Patient with Glioblastoma
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    Chapter 4 Machine Learning Approaches Pertinent to Glioma Classification
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    Chapter 5 Histopathology of Adult and Pediatric Glioblastoma
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    Chapter 6 Principles of Radiation Therapy for Glioblastoma Patients
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    Chapter 7 Implementing Molecular Pathology in a Developing Country
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    Chapter 8 Molecular Stratification of Adult and Pediatric High Grade Gliomas
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    Chapter 9 Genomic Heterogeneity of Aggressive Pediatric and Adult Diffuse Astrocytomas
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    Chapter 10 Immunohistochemical Surrogates for Molecular Pathology
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    Chapter 11 Machine Learning-Based Automated Methods for Brain Tumor Segmentation, Subtype Classification, Tracking and Patient Survival Prediction
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    Chapter 12 Rodent Brain Tumor Models for Neuro-Oncology Research
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    Chapter 13 Stem Cell Based Modelling of Glioblastoma
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    Chapter 14 The Neuroscience of Glioblastoma
Attention for Chapter 9: Genomic Heterogeneity of Aggressive Pediatric and Adult Diffuse Astrocytomas
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Chapter title
Genomic Heterogeneity of Aggressive Pediatric and Adult Diffuse Astrocytomas
Chapter number 9
Book title
Precision Molecular Pathology of Glioblastoma
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-69170-7_9
Book ISBNs
978-3-03-069169-1, 978-3-03-069170-7
Authors

Pierson, Christopher R., Thomas, Diana L.

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