12 citations · 15 across the 5 of their papers we have counts for
5 papers
Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning
Hejun Huang, Zuguo Chen, Yi Huang +3
Cardiac magnetic resonance imaging (MRI) is a pivotal tool for assessing cardiac function. Precise segmentation of cardiac structures is imperative for accurate cardiac functional…
Three-layer deep learning network random trees for fault detection in chemical production process
Ming Lu, Zhen Gao, Ying Zou +2
With the development of technology, the chemical production process is becoming increasingly complex and large-scale, making fault detection particularly important. However, curren…
AIoT-Based Drum Transcription Robot using Convolutional Neural Networks
Yukun Su, Yi Yang
With the development of information technology, robot technology has made great progress in various fields. These new technologies enable robots to be used in industry, agriculture…
Channel prior convolutional attention for medical image segmentation
Hejun Huang, Zuguo Chen, Ying Zou +2
Characteristics such as low contrast and significant organ shape variations are often exhibited in medical images. The improvement of segmentation performance in medical imaging is…
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
Hejun Huang, Zuguo Chen, Chaoyang Chen +2
A network based on complementary consistency training, called CC-Net, has been proposed for semi-supervised left atrium image segmentation. CC-Net efficiently utilizes unlabeled da…