Classification Of Brain Tumor Using Deep Learning : Depth analysis of brain tumors along with deep learning

Language: English

Published by LAP LAMBERT Academic Publishing, 2022

6204982877 / 9786204982878

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  • New
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

Condition: New

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Item description from seller

nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …

Seller Inventory # 9786204982878

Title
Classification Of Brain Tumor Using Deep Learning : Depth analysis of brain tumors along with deep learning
Author
Harsh Jindal
Publisher
LAP LAMBERT Academic Publishing
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6204982877
ISBN 13
9786204982878
Item weight
173 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.21US$ 50.42
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Einbeck, Germany 37574