Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution. [PDF]
Lu H, Zhang J, Jing M, Wang Z, Wang W.
europepmc +1 more source
Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images. [PDF]
Reka S +4 more
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Artificial intelligence-assisted retinal imaging enables dense pixel sampling from sparse measurements. [PDF]
Das V +4 more
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Research on super-resolution reconstruction of construction images based on attention mechanism and generative adversarial networks. [PDF]
Chen Q +5 more
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Artificial Intelligence-Assisted Fetal Ultrasound in Low-Resource Settings: Opportunities, Challenges, and Future Directions. [PDF]
Kumari P, Meena R.
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Synergistic fusion: An integrated pipeline of CLAHE, YOLO models, and advanced super-resolution for enhanced thermal eye detection. [PDF]
J P, A S.
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Modelling of hybrid deep ensemble learning based skin lesion detection using FCNN denoising and inception-dilated ResNetV2. [PDF]
Sunkavalli JP +6 more
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Retraction: Deep learning-enhanced diabetic retinopathy image classification. [PDF]
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Thangka super-resolution diffusion model based on discrete cosine transform domain padding upsampling and high-frequency focused attention. [PDF]
Chen X +5 more
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Retraction: Enhancing diabetic retinopathy classification using deep learning. [PDF]
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