Classification Of Brain Tumor Using Deep Learning: Depth analysis of brain tumors along with deep learning - Couverture souple
Synopsis
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.
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Classification Of Brain Tumor Using Deep Learning: Depth analysis of brain tumors along with deep learning
Edité par
LAP LAMBERT Academic Publishing, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Classification Of Brain Tumor Using Deep Learning
Edité par
LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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. 104 pp. Englisch. N° de réf. du vendeur 9786204982878
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Classification Of Brain Tumor Using Deep Learning: Depth analysis of brain tumors along with deep learning
Edité par
LAP LAMBERT Academic Publishing, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Classification Of Brain Tumor Using Deep Learning: Depth analysis of brain tumors along with deep learning
Edité par
LAP LAMBERT Academic Publishing, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Classification Of Brain Tumor Using Deep Learning
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LAP Lambert Academic Publishing, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. N° de réf. du vendeur 650336353
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Classification Of Brain Tumor Using Deep Learning
Edité par
LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. N° de réf. du vendeur 9786204982878
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Classification Of Brain Tumor Using Deep Learning : Depth analysis of brain tumors along with deep learning
Edité par
LAP LAMBERT Academic Publishing, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. 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. N° de réf. du vendeur 9786204982878
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Classification Of Brain Tumor Using Deep Learning | Depth analysis of brain tumors along with deep learning
Edité par
LAP LAMBERT Academic Publishing, 2022
ISBN 10 : 6204982877
ISBN 13 : 9786204982878
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Classification Of Brain Tumor Using Deep Learning | Depth analysis of brain tumors along with deep learning | Harsh Jindal (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204982878 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 122099150
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