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A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App - Softcover
Synopsis
Brain tumors provide considerable obstacles in the field of healthcare,requiring accurate and prompt diagnosis in order to achieve effective therapy and enhance patient outcomes. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are crucial techniques for identifying brain tumors, with each method providing unique benefits. However, depending exclusively on one modality can restrict the precision of diagnosis. This project presents a novel method that integrates MRI and CT scans to improve the detection and categorization of brain tumors. By utilizing a 13-layer Convolution Neural Network and image fusion algorithms, our approach seeks to combine the advantages of both modalities,reducing their respective drawbacks. The workflow entails the act of uploading MRI and CT scans onto an interface, where a Convolutional Neural Network (CNN)applies picture fusion algorithm in the backend. The classification outcome reveals the existence, nature, or absence of a tumor. Moreover, the results can be obtained through a website or mobile app, making it easier and more effective for healthcare professionals to diagnose patients.
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A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App
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A Novel Deep Learning Approach for Brain Tumor Detection
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A Novel Deep Learning Approach for Brain Tumor Detection
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A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App
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A Novel Deep Learning Approach for Brain Tumor Detection
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A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207842170
ISBN 13: 9786207842179
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A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207842170
ISBN 13: 9786207842179
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A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207842170
ISBN 13: 9786207842179
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A Novel Deep Learning Approach for Brain Tumor Detection (Paperback)
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Paperback. Condition: new. Paperback. Brain tumors provide considerable obstacles in the field of healthcare, requiring accurate and prompt diagnosis in order to achieve effective therapy and enhance patient outcomes. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are crucial techniques for identifying brain tumors, with each method providing unique benefits. However, depending exclusively on one modality can restrict the precision of diagnosis. This project presents a novel method that integrates MRI and CT scans to improve the detection and categorization of brain tumors. By utilizing a 13-layer Convolution Neural Network and image fusion algorithms, our approach seeks to combine the advantages of both modalities, reducing their respective drawbacks. The workflow entails the act of uploading MRI and CT scans onto an interface, where a Convolutional Neural Network (CNN)applies picture fusion algorithm in the backend. The classification outcome reveals the existence, nature, or absence of a tumor. Moreover, the results can be obtained through a website or mobile app, making it easier and more effective for healthcare professionals to diagnose patients. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786207842179
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A Novel Deep Learning Approach for Brain Tumor Detection
Published by
LAP LAMBERT Academic Publishing Jul 2024, 2024
ISBN 10: 6207842170
ISBN 13: 9786207842179
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Taschenbuch
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Taschenbuch. Condition: Neu. Neuware -Brain tumors provide considerable obstacles in the field of healthcare,requiring accurate and prompt diagnosis in order to achieve effective therapy and enhance patient outcomes. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are crucial techniques for identifying brain tumors, with each method providing unique benefits. However, depending exclusively on one modality can restrict the precision of diagnosis. This project presents a novel method that integrates MRI and CT scans to improve the detection and categorization of brain tumors. By utilizing a 13-layer Convolution Neural Network and image fusion algorithms, our approach seeks to combine the advantages of both modalities,reducing their respective drawbacks. The workflow entails the act of uploading MRI and CT scans onto an interface, where a Convolutional Neural Network (CNN)applies picture fusion algorithm in the backend. The classification outcome reveals the existence, nature, or absence of a tumor. Moreover, the results can be obtained through a website or mobile app, making it easier and more effective for healthcare professionals to diagnose patients.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Seller Inventory # 9786207842179
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