Classification Of Brain Tumor Using Deep Learning

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2022, 2022

6204982877 / 9786204982878

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Softcover

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This item is printed on demand - Print on Demand Titel. Neuware -In the growing age of various diseases and specially the Brain Tumor, Automatic differentiation of clinical pictures is not less than any boon. This technology helps in diagnosis, growth observation and also helps to tackle up through the disease. The brain tumor is one of the foremost rigorous diseases in medical science. An efficient and efficient analysis is often a key concern for the radiotherapist within the premature section of tumor growth. Histological grading, supported by a stereotactic diagnostic assay test, is the gold customary and therefore the convention for detective work the grade of a brain tumor. The biopsy procedure needs the operating surgeon to drill a little hole into the so that the tissue is collected. There are several risk factors involving the diagnostic test, as well as haemorrhage from the growth and brain inflicting infection, seizures, severe migraine, stroke, coma, and even death. However, the most concern with the stereotactic biopsy is that it's not 100% accurate which can lead to a heavy diagnostic error followed by wrong clinical management of the disease.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. …

Seller Inventory # 9786204982878

Title
Classification Of Brain Tumor Using Deep Learning
Author
Harsh Jindal
Publisher
LAP LAMBERT Academic Publishing Jul 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6204982877
ISBN 13
9786204982878
Item weight
173 grams
Dimensions
220x150x7 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur

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