Benign paroxysmal positional vertigo (BPPV) is a prevalent form of vertigo that necessitates a skilled physician to diagnose by observing the nystagmus and vertigo resulting from specific changes in the patient’s position. In this study, we aim to explore the integration of eye movement video and...
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Recent advancements in machine-learning algorithms for computer vision have created an interest in their applicability in digital pathology [13, 14]. Deep learning models trained on data such as histological and computed tomography images have been used to predict signaling activity, mutation and progno...
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φF=Re(AvgPool(φC)) (6) φG=Tran[Re(AvgPool(φB))] (7) Subsequently, the feature maps E and F undergo an element-by-element multiplication process, and the Softmax operation is employed to derive a set of attentional weights H. Additionally, the attentional feature map I is generat...
a Structure diagram of channel attention module; b Structure diagram of spatial attention module Full size image (1) The feature map F_{c} uses global average pooling and global maximum pooling for obtaining two spatial context descriptors: F_{avg}^{c} and F_{\max }^{c}. The feature ...
WV=AvgPool(f3) (7) ββδδαδWV=ββ(δδ(α(δ(Wv))) (8) WF=Wv⊗f1 (9) FF=Wf⊕f2 (10) Wherein AvgPool represents global average pooling, WV is the weight vector, WF is the weighted feature map, FF is the final output, δ signifies a 1 × 1 convolution, α de...
The vision transformer (ViT) architecture, with its attention mechanism based on multi-head attention layers, has been widely adopted in various computer-aided diagnosis tasks due to its effectiveness in processing medical image information. ViTs are notably recognized for their complex architecture, whi...
theLAIduring the middle and late growth period affectedRsby altering root carbon supply. In MW, the most favorableMsforRswas near FC. The increase inLAIbefore mowing could effectively promote root and soil microbial respiration, and the decomposition of litter driven byTswas the main form ofRsat...
In the context of the attention mechanism, 'avg' denotes the pooling operation, 'Sigmoid' represents the activation function, 'F' denotes the input feature, and 'GAP' signifies global average pooling. (4) NWD loss function. We adopt the NWD [36] loss function, specifically the Normalized Gau...