AVOW
发表于 2025-3-28 15:06:29
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似少年
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大都市
发表于 2025-3-29 00:55:08
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OPINE
发表于 2025-3-29 05:07:22
https://doi.org/10.1007/978-3-540-85017-5 Atrial fibrillation (AF) is a common type of arrhythmia that can be diagnosed using an electrocardiogram (ECG) pattern. Identification of arrhythmia through ECG can be very challenging because the process is highly dependent on experts and very time consuming. The use of deep learning in automatica
Etymology
发表于 2025-3-29 10:13:41
eCustomer Relationship Management,l rate of this cancer, but this intervention depends on the accurate detection of polys in the surrounding tissues. Missing a poly has serious consequences. One way to guard against human error is to develop automatic polyp detection systems. Deep learning semantic segmentation offers one approach t
hemoglobin
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FLAIL
发表于 2025-3-29 17:05:10
eCustomer Relationship Management,ts with larger clinical complexity and needs. The patients in medical wards exhibit multiple pathologies, with a burden of activities, risks, and costs for health systems, mining their sustainability. Internal Medicine Departments play an important role in the care of those patients that access the
Herbivorous
发表于 2025-3-29 20:48:09
eCustomer Relationship Management,e other success measures in hearing rehabilitation. A Living Lab approach was applied. Living Lab projects at their heart apply co-design in real-life contexts involving multiple stakeholders to achieve innovative products and services for the people involved—in this project, patients as well as sta
cruise
发表于 2025-3-30 00:22:48
eCustomer Relationship Management,ain feature is the capability of processing graph structured data with minimal loss of structural information. This makes GNNs the ideal family of models for processing a wide variety of biological data: metabolic networks, structural formulas of molecules, and proteins are all examples of biologica
cancellous-bone
发表于 2025-3-30 06:27:48
Artificial Intelligence and Machine Learning for Healthcare978-3-031-11154-9Series ISSN 1868-4394 Series E-ISSN 1868-4408