Assessment of Deep Learning-Generated Ultra-Widefield Fluorescein Angiography From Fundus Images in Diabetic Retinopathy. [PDF]
Park SE, Kim JH, Lee SH, Ra H, Baek J.
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Citri Reticulatae Pericarpium (CRP) samples undergo authentic processing through natural air drying and preservation, whereas counterfeit CRP can be produced through high‐temperature treatment, chemical agents, dyeing, or acid–alkali processing. Vis/NIR spectral analysis combined with WGAN‐GP augmentation and Inception‐ResNet classification captures ...
Chao Ma +6 more
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A Deep Learning Approach for Classifying Benign, Malignant, and Borderline Ovarian Tumors Using Convolutional Neural Networks and Generative Adversarial Networks. [PDF]
Giourga M +11 more
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Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
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GAN-Based Cross-Modality Brain MRI Synthesis: Paired Versus Unpaired Training and Comparison with Diffusion and Transformer Models. [PDF]
Kiani Kalejahi B +2 more
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STGNET: extending panel coverage in imaging-based spatial transcriptomics using deep generative adversarial networks. [PDF]
Wang T +10 more
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Visual security defense for industrial inspection based on computer vision. [PDF]
Jiang Z, Yuan H, Zeng C, Fu L.
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Generative AI-Driven CNN Framework for Enhanced Lung Cancer Detection, Prediction, and Treatment: A Novel Approach to Overcoming AI Limitations. [PDF]
Bodicherla SS +2 more
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Text-to-video generation with multi-loss sequential generative adversarial network. [PDF]
Ullah A +6 more
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Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity. [PDF]
Arockia Selvarathinam ALXR +4 more
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