Neural Network Based Classification and Diagnosis of Brain Hemorrhages: A Practical Approach

 
9783848446322: Neural Network Based Classification and Diagnosis of Brain Hemorrhages: A Practical Approach
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Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90% classification evaluated by domain experts, recommended medical referral decision.The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages.

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Dr.K.V.RAMANA, Professor of Computer Science & Engineering , Jawaharlal Technological University Kakinada. He did his B.Tech in Electronics and Communications,M.Tech in Computer Science, and Ph.D in Computer Science in the Area of Medical Image Processing.

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Book Description Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | A Practical Approach | Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90% classification evaluated by domain experts, recommended medical referral decision.The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages. | Format: Paperback | Language/Sprache: english | 208 pp. Seller Inventory # K9783848446322

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Book Description LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. Condition: Neu. Neuware - Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90% classification evaluated by domain experts, recommended medical referral decision.The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages. 208 pp. Englisch. Seller Inventory # 9783848446322

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Book Description LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. Condition: Neu. Neuware - Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90% classification evaluated by domain experts, recommended medical referral decision.The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages. 208 pp. Englisch. Seller Inventory # 9783848446322

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Book Description LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90% classification evaluated by domain experts, recommended medical referral decision.The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages. 208 pp. Englisch. Seller Inventory # 9783848446322

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Book Description LAP Lambert Academic Publishing, Germany, 2012. Paperback. Condition: New. Aufl.. Language: English . Brand New Book ***** Print on Demand *****.Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90 classification evaluated by domain experts, recommended medical referral decision.The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages. Seller Inventory # AAV9783848446322

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Book Description LAP Lambert Academic Publishing. Paperback. Condition: New. 208 pages. Dimensions: 8.7in. x 5.9in. x 0.5in.Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90 classification evaluated by domain experts, recommended medical referral decision. The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783848446322

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