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 work, we consider the challenging gridless direction-of-arrival (DOA) estimation problem with arbitrary sparse arrays. By utilizing the feature relationship between the received ...
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 ...
Accurate acquisition for the positions of the waterlines plays a critical role in coastline extraction. However, waterline extraction from high-resolution images is a very challenging task because it ...
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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