Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation
Objective With latest developments in deep learning approaches, automated, accurate, fast,
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …
Ac-mambaseg: An adaptive convolution and mamba-based architecture for enhanced skin lesion segmentation
Skin lesion segmentation is a critical task in computer-aided diagnosis systems for
dermatological diseases. Accurate segmentation of skin lesions from medical images is …
dermatological diseases. Accurate segmentation of skin lesions from medical images is …
Vsr-net: Vessel-like structure rehabilitation network with graph clustering
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play
significant roles in disease diagnosis, eg, Parkinson's disease. Although deep network …
significant roles in disease diagnosis, eg, Parkinson's disease. Although deep network …
[HTML][HTML] MSCF-Net: Attention-guided multi-scale context feature network for ship segmentation in surveillance videos
X Jiang, X Ding, X Jiang - Mathematics, 2024 - mdpi.com
With the advent of artificial intelligence, ship segmentation has become a critical component
in the development of intelligent maritime surveillance systems. However, due to the …
in the development of intelligent maritime surveillance systems. However, due to the …
CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation
Deep neural networks have shown excellent performance in medical image segmentation,
especially for cardiac images. Transformer-based models, though having advantages over …
especially for cardiac images. Transformer-based models, though having advantages over …
Integrated spectrogram construction method on multi-channel signals for loose particle localization
Z Sun, G Zhai, M Zhang, G Wang, Q Liang… - … Applications of Artificial …, 2025 - Elsevier
Loose particle is an important factor affecting the reliable operation of sealed electronic
equipment. Loose particle localization research provides important reference for loose …
equipment. Loose particle localization research provides important reference for loose …
Multi-scale input layers and dense decoder aggregation network for COVID-19 lesion segmentation from CT scans
X Lan, W ** - Scientific Reports, 2024 - nature.com
Accurate segmentation of COVID-19 lesions from medical images is essential for achieving
precise diagnosis and develo** effective treatment strategies. Unfortunately, this task …
precise diagnosis and develo** effective treatment strategies. Unfortunately, this task …
A deep ensemble medical image segmentation with novel sampling method and loss function
Medical image segmentation is a critical task in computer vision because of facilitating
precise identification of regions of interest in medical images. This task plays an important …
precise identification of regions of interest in medical images. This task plays an important …
CFF-Net: Cross-Hierarchy Feature Fusion Network Based on Composite Dual-Channel Encoder for Surface Defect Segmentation.
K Qian, X Ding, X Jiang, Y Ji… - Electronics (2079-9292 …, 2024 - search.ebscohost.com
In industries spanning manufacturing to software development, defect segmentation is
essential for maintaining high standards of product quality and reliability. However …
essential for maintaining high standards of product quality and reliability. However …
MFI-Net: Multi-level feature integration network with SE-Res2Conv encoder for jaw cyst segmentation
H Zheng, X Jiang, X Xu, X Ding - IEEE Access, 2024 - ieeexplore.ieee.org
Accurate segmentation of organs and lesions from medical images holds paramount
importance in aiding physicians with diagnosis and monitor diseases. At present, the …
importance in aiding physicians with diagnosis and monitor diseases. At present, the …