Titlebook: Artificial Intelligence and Machine Learning for Healthcare; Vol. 1: Image and Da Chee-Peng Lim,Ashlesha Vaidya,Lakhmi C. Jain Book 2023 Th

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书目名称Artificial Intelligence and Machine Learning for Healthcare网络公开度学科排名




书目名称Artificial Intelligence and Machine Learning for Healthcare被引频次




书目名称Artificial Intelligence and Machine Learning for Healthcare被引频次学科排名




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书目名称Artificial Intelligence and Machine Learning for Healthcare年度引用学科排名




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书目名称Artificial Intelligence and Machine Learning for Healthcare读者反馈学科排名

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Genetics

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1868-4394 ing populations using the recently evolved artificial intell.Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans.  AL/ML-based systems and tools play a critical role in this digital and b

PALSY

歪曲道理

Radiomics: Approach to Precision Medicine,c in recent years. Large-scale molecular-biology-level information, such as genome, proteome, and metabolome, is collected from patients for analyzing biomarkers for subpopulation of a particular disease. This is import for the targeted therapy, which is expected to be more effective and less harmfu

Pandemic

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,Unsupervised Domain Adaptation Approach for Liver Tumor Detection in Multi-phase CT Images,ely used in various medical applications. Deep learning-based AI systems require a large amount of training data for model learning. However, acquiring sufficient training data with high-quality annotation is a major challenge in Healthcare. As a result, deep learning-based models face a lack of ann

绝种

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