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Health Informatics: A UK and Canadian Perspective on Current and Future Challenges.

, , , , , , , , and . AMCIS, page 111. Association for Information Systems, (2008)

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Health Informatics: A UK and Canadian Perspective on Current and Future Challenges., , , , , , , , and . AMCIS, page 111. Association for Information Systems, (2008)Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images., , , , , and . Comput. Electr. Eng., (2018)A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear., , , , , and . Future Gener. Comput. Syst., (2018)Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach., , , , and . J. Comput. Sci., (2017)K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor., , , , , , and . Soft Comput., 23 (19): 9083-9096 (2019)Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature., , , and . J. Comput. Sci., (2017)Implementing an Agent-based Multi-Natural Language Anti-Spam Model., , , , and . ISAMSR, page 1-5. IEEE, (2018)Secure-fault-tolerant efficient industrial internet of healthcare things framework based on digital twin federated fog-cloud networks., , , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (9): 101747 (October 2023)Solving vehicle routing problem by using improved genetic algorithm for optimal solution., , , , , and . J. Comput. Sci., (2017)Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma., , , , and . J. Comput. Sci., (2017)