Isbn: 9786208422110 - a system for prediction and analysis of cancer disease using dl algo: a system for prediction and analysis of cancer disease using deep learning algorithms (11 resultados)

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Taschenbuch. Condición: Neu. A System for Prediction and Analysis of Cancer Disease Using DL Algo | A System for Prediction and Analysis of Cancer Disease Using Deep Learning Algorithms | Prathamesh Birajdar (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208422110 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Englisch.

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The accurate prediction and analysis of cancer disease plays a crucial role in improving patient outcomes and treatment planning. In this dissertation, the model for the prediction and analysis of cancer using deep learning algorithms, specifically Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN), with the utilization of PET/CT images. The system aims to enhance the accuracy and efficiency of cancer diagnosis and provides valuable insights for decisions regarding treatment. The system leverages the power of deep learning models which are known to provide valuable information about cancer metabolism and anatomical structures. By training CNN models on a large dataset of annotated PET/CT images, the system can learn to recognize patterns and characteristics indicative of cancerous regions. To evaluate the accuracy of the system, performance metrics such as Intersection over Union (IoU) and F-measure are employed. IoU measures the overlap between the predicted cancer regions and ground truth annotations, while F-measure assesses the balance between precision and recall of the predictions. These metrics provide quantitative measures of the system's performance.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The accurate prediction and analysis of cancer disease plays a crucial role in improving patient outcomes and treatment planning. In this dissertation, the model for the prediction and analysis of cancer using deep learning algorithms, specifically Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN), with the utilization of PET/CT images. The system aims to enhance the accuracy and efficiency of cancer diagnosis and provides valuable insights for decisions regarding treatment. The system leverages the power of deep learning models which are known to provide valuable information about cancer metabolism and anatomical structures. By training CNN models on a large dataset of annotated PET/CT images, the system can learn to recognize patterns and characteristics indicative of cancerous regions. To evaluate the accuracy of the system, performance metrics such as Intersection over Union (IoU) and F-measure are employed. IoU measures the overlap between the predicted cancer regions and ground truth annotations, while F-measure assesses the balance between precision and recall of the predictions. These metrics provide quantitative measures of the system's performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.…