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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書目名稱Artificial Intelligence and Machine Learning for Healthcare影響因子(影響力)




書目名稱Artificial Intelligence and Machine Learning for Healthcare影響因子(影響力)學科排名




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書目名稱Artificial Intelligence and Machine Learning for Healthcare網絡公開度學科排名




書目名稱Artificial Intelligence and Machine Learning for Healthcare被引頻次




書目名稱Artificial Intelligence and Machine Learning for Healthcare被引頻次學科排名




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書目名稱Artificial Intelligence and Machine Learning for Healthcare年度引用學科排名




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書目名稱Artificial Intelligence and Machine Learning for Healthcare讀者反饋學科排名

粗魯性質

Genetics

Expurgate

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

清楚說話

,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

絕種

liposuction