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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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期刊全稱Artificial Intelligence and Machine Learning for Healthcare
期刊簡(jiǎn)稱Vol. 1: Image and Da
影響因子2023Chee-Peng Lim,Ashlesha Vaidya,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/163/162240/162240.mp4
發(fā)行地址Presents a sample of recent advances in the theory and applications of artificial intelligence for aging populations.Focuses on assisting aging populations using the recently evolved artificial intell
學(xué)科分類Intelligent Systems Reference Library
圖書封面Titlebook: Artificial Intelligence and Machine Learning for Healthcare; Vol. 1: Image and Da Chee-Peng Lim,Ashlesha Vaidya,Lakhmi C. Jain Book 2023 Th
影響因子.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 big data era to address a variety of medical and healthcare problems,?improving treatments and quality of care for patients.?.This edition on AI and ML for healthcare consists of two volumes.? The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future..In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented.? These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector..
Pindex Book 2023
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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
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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
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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
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