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- research-articleJuly 2023
Retinex-MPCNN: A Retinex and Modified Pulse coupled Neural Network based method for low-illumination visible and infrared image fusion
AbstractTo overcome detail loss problem of infrared and low-illumination visible light image fusion, this paper proposes a novel fusion framework based on Modified Pulse Coupled Neural Network (MPCNN) and Retinex theory. First, MPCNN is ...
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Highlights- Novel fusion scheme is proposed to get detail-rich fused image under low-illumination.
- research-articleMay 2023
PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
- Hua-Deng Wang,
- Zi-Zheng Li,
- Idowu Paul Okuwobi,
- Bing-Bing Li,
- Xi-Peng Pan,
- Zhen-Bing Liu,
- Ru-Shi Lan,
- Xiao-Nan Luo
Journal of Computer Science and Technology (JCST), Volume 38, Issue 3Pages 567–581https://doi.org/10.1007/s11390-023-3066-4AbstractRetinal images play an essential role in the early diagnosis of ophthalmic diseases. Automatic segmentation of retinal vessels in color fundus images is challenging due to the morphological differences between the retinal vessels and the low-...
- research-articleDecember 2022
CAFNET: Cross-Attention Fusion Network for Infrared and Low Illumination Visible-Light Image
Neural Processing Letters (NPLE), Volume 55, Issue 5Pages 6027–6041https://doi.org/10.1007/s11063-022-11125-9AbstractDue to the sampling and pooling operations, deep learning-based infrared and visible-light image fusion methods often result into detail loss problem, especially under low illumination. Therefore, we propose a novel cross-attention fusion network (...
- research-articleJanuary 2022
Artificial intelligence model driven by transfer learning for image-based medical diagnosis
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 43, Issue 4Pages 4601–4612https://doi.org/10.3233/JIFS-220066Artificial intelligent (AI) systems for clinical-decision support are an important tool in clinical routine. It has become a crucial diagnostic tool with adequate reliability and interpretability in disease diagnosis and monitoring. Undoubtedly, these ...