Artificial intelligence (AI) is increasingly reshaping medical imaging, yet its progress depends heavily on the availability of reliable, well-curated data. In eye health, the lack of standardized ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: With the rapid development of satellite technology, satellite image processing technology is gradually mature, which can provide reliable data support for various fields. However, in ...
This project develops an adaptive preprocessing pipeline for Intraoral Periapical (IOPA) X-ray images, aimed at enhancing image quality for dental diagnostics, such as caries detection. The pipeline ...
Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...
1 Department of Neurosurgery, The Second People’s Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, China 2 Department of Neurosurgery, The Affiliated Hospital of Xuzhou ...
PDF/Image Input ↓ [Ingestion & Standardization] ↓ [Text Detection Gate] ↓ ↓ [NO TEXT] [TEXT DETECTED] ↓ ↓ Classical CV YOLOv8 Layout Detection + ML (IQA) + Hybrid IQA on Images ↓ ↓ [Corrections & JSON ...
The rail surface status image is affected by the noise in the shooting environment and contains a large amount of interference information, which increases the difficulty of rail surface status ...
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