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IEEE1d
Speckle Noise Reduction for Medical Ultrasound Images Using Hybrid CNN-Transformer Network - IEEE Xplore
This paper proposes a hybrid CNN-transformer network called HCTSpeckle, an encoder-decoder network with a fusion block designed to enhance ultrasound images. The fusion block combines swin ...
IEEE3d
A Symmetry-Aware Pitch Feature Encoder–Decoder Network for Condition Monitoring of Pitch Bearings in Wind Turbines - IEEE Xplore
Pitch bearing is one of the critical components of the electric pitch system in wind turbines (WTs), and its early and reliable fault warning is of great significance to ensure the operational ...
IEEE4d
Unsupervised Feature Selection using Encoder-Decoder Networks
Feature selection is one of the most important techniques for dimension reduction in a wide range of tasks. This paper presents a simple yet efficient method for unsupervised feature selection. To ...
IEEE5d
BEFNet: A Hybrid CNN-Mamba Architecture for Accurate Skin Lesion Image Segmentation - IEEE Xplore
Accurate image segmentation of skin lesions is crucial for the detection and treatment of skin cancer. Based on the modern state space model Mamba, a novel hybrid CNN-Mamba network (BEFNet) is ...
IEEE5d
A Robust CNN Framework for Change Detection Analysis From Bitemporal Remote Sensing Images - IEEE Xplore
Deep learning (DL) algorithms are currently the most effective methods for change detection (CD) from high-resolution multispectral (MS) remote-sensing (RS) images. Because a variety of satellites are ...