Abstract: Multilevel road feature extraction from remote sensing image plays an important role in numerous applications such as autonomous driving and urban planning. However, interference from ...
Bone age assessment (BAA) is a widely used clinical technique that can accurately reflect an individual’s growth and development level, as well as maturity. In recent years, although deep learning has ...
Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. The MEEG dataset, capturing emotional responses to various musical stimuli across different valence ...
Abstract: In this article, a multilevel spatial feature extraction module (mSEM) is presented for electroencephalography-based brain-computer interface (EEG-BCI) tasks that are conducted according to ...
Network architecture of the proposed SMFANet. The proposed SMFANet consists of a shallow feature extraction module, feature modulation blocks, and a lightweight image reconstruction module. Feature ...
To efficiently capture feature information in tasks of fine-grained image classification, this study introduces a new network model for fine-grained image classification, which utilizes a hybrid ...
Medical image segmentation is a key task in computer aided diagnosis. In recent years, convolutional neural network (CNN) has made some achievements in medical image segmentation. However, the ...
Bone age assessment (BAA) from hand radiographs is crucial for diagnosing endocrinology disorders in adolescents and supplying therapeutic investigation. In practice, due to the conventional clinical ...
1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...
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