ALGORITHMS FOR LOGICAL-LINGUISTIC CLASSIFICATION OF IMAGES IN THE CENTRAL NERVOUS SYSTEM OF A MOBILE ROBOT

2021 ◽  
pp. 154-157
Author(s):  
A.E. Gorodetskiy ◽  
I.L. Tarasova ◽  
V.G. Kurbanov
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Mobile Robot ◽  
The Central Nervous System ◽  
Linguistic Classification ◽  
Classification Of Images

Tumors of the Central Nervous System

2013 ◽  
pp. 20-58
Author(s):  
Keith L. Ligon ◽  
Karima Mokhtari ◽  
Thomas W. Smith
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Molecular Biology ◽  
Tumor Type ◽  
Primary Tumors ◽  
System P ◽  
Precise Diagnosis ◽  
The Central Nervous System ◽  
Classification Of Tumors

This chapter presents the most up-to-date classification of tumors of the nervous system, based on the histological appearance of the neoplasm and also on information derived from cytogenetics and molecular biology, now recognized worldwide as increasingly important for more precise diagnosis, prognosis, and therapeutic guidance. The chapter provides a detailed morphologic description of each major tumor type, with numerous illustrations of macroscopic and microscopic lesions. First we consider primary tumors of the nervous system, including those derived from neuroepithelial tissue (astrocytic, oligodendroglial, ependymal, neuronal, and glioneuronal), pineal tissue, peripheral nerve sheath, and meninges. Next lymphomas, hematopoietic neoplasms, and secondary (metastatic) neoplasms are described.

The 2016 World Health Organization classification of tumours of the central nervous system

2018 ◽  
Vol 47 (11-12) ◽  
pp. e187-e200 ◽  
Author(s):  
Chiara Villa ◽  
Catherine Miquel ◽  
Dominic Mosses ◽  
Michèle Bernier ◽  
Anna Luisa Di Stefano
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
World Health Organization ◽  
World Health ◽  
World Health Organization Classification ◽  
The Central Nervous System ◽  
Health Organization
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