Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
Abstract: Graph neural networks (GNNs) have shown great promise in few-shot learning, where they typically represent the entire feature of a sample as a node. However, this approach can overlook finer ...
Objective: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and then further convolution processing to construct ...
Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and ...
There was an error while loading. Please reload this page. The goal of this project is to implement a Neural Network to predict the image content with a desired ...
Abstract: The need for accurate and efficient malaria diagnosis has driven research into automated solutions using deep learning. This study presents a comparative analysis of five convolutional ...
1 Department of Computer Engineering (AI), University of Genova, Genova, Italy. 2 Department of Engineering Technology for Strategy and Security, University of Genova, Genova, Italy. Pneumonia remains ...
本项目旨在通过不同优化器（如 SGD、Adam、SAM 及其变种）对多个数据集（如 MNIST、CIFAR-10、Fashion MNIST）进行训练和评估 ...
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