CLASSIFICATION MODEL OF CLOCK DRAWING TEST BASED ON CONTRASTIVE LEARNING USING MULTI-CHANNEL FEATURES WITH CHANNEL-SPATIAL ATTENTION

Classification Model of Clock Drawing Test Based on Contrastive Learning Using Multi-Channel Features With Channel-Spatial Attention

The Clock Drawing Test (CDT) is a professional examination that can detect cognitive impairments, such as Parkinson’s and Alzheimer’s diseases, based on scoring criteria.The pooling layers of a convolutional neural network (CNN) compress features by reducing dimensionality, which tends to focus on a single dominant element.This can be

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Simultaneous Analysis of Combination Active Pharmaceutical Ingredients by HLPC SCION LC 6000 with Diode Array Detector

An important problem for pharmaceutical and toxicological laboratories is quick and accurate determination of mixtures cirque colors lavender sky of active pharmaceutical ingredients in various samples, including blood samples.This article shows the simultaneous quantitative analysis and identification of two common pharmaceutical ingredients (para

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