Titlebook: Explainable Machine Learning for Multimedia Based Healthcare Applications; M. Shamim Hossain,Utku Kose,Deepak Gupta Book 2023 The Editor(s

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rt of people’s daily lives. Due to the growing interest in AI, the number of research on the topic has increased significantly in recent years. AI based methods are used to reveal information, make decisions, and detect data behaviors. Albeit AI-based models outperform traditional techniques, they a

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https://doi.org/10.1007/978-3-540-31211-6 Coronavirus (COVID-19) pandemic globally. Their use has proved effective in managing the pandemic by exploiting huge amount of data brought about with the use of IoT and cloud-based storage. Their implementation has provided various advantages like collection of huge data, scalability, real-time mo

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Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM,s a tool in the analysis of medical images and videos, can facilitate the diagnosis process and contribute to increasing the accuracy in the decision-making stages of the experts. In addition, the evaluation of medical data, which requires experience and expertise, is achieved with the help of deep

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Explainable Machine Learning (XML) for Multimedia-Based Healthcare Systems: Opportunities, Challengements in data processing have made this process possible, and the advancement of technology for network infrastructures. In the healthcare systems, where data abundance has generated a rush of new techniques for effective data collection and processing, this new predicament is particularly noticeab

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Ensemble Deep Learning Architectures in Bone Cancer Detection Based on Medical Diagnosis in Explain radiologists to make better decisions. The majority of early deaths worldwide are attributed to a group of diseases known as bone cancers, which are characterised by unchecked cell development. To treat the patient, early diagnosis and classification of the bone tumour are now necessary. This resea