ULTRASOUND IMAGE SEGMENTATION METHOD FOR THYROID NODULES USING ASPP FUSION FEATURES


Hierarchical deep learning for autonomous multi-label arrhythmia detection and classification on real-world wearable electrocardiogram data

Objective Arrhythmia detection and classification are challenging because of the imbalanced ratio of normal heartbeats to arrhythmia heartbeats and the complicated combinations of arrhythmia types.Arrhythmia ULTIMATE MULTI PROBIOTIC classification on wearable electrocardiogram monitoring devices poses a further unique challenge: unlike clinically u

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Perceived stress, hardship, and self-reported health status of persons living with diabetes mellitus during Coronavirus Disease-19 pandemic and lockdown: A descriptive study

Introduction: Coronavirus disease-19 (COVID-19) pandemic and subsequent complete lockdown have resulted in a lot of difficulties in availing essential services including medical care, especially among the persons living with Type 2 diabetes mellitus (DM).The situation was complicated by stress and fear due to unknown nature of the pandemic during i

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