We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Abstract: Deep learning has achieved great successes in conventional computer vision tasks. In this paper, we exploit deep learning techniques to address the hyperspectral image classification problem ...
Abstract: Welding defect detection based on radiographic images plays a vital role in industrial nondestructive testing. It provides an effective guarantee with respect to welding quality in ...
Rudolf Virchow fundamentally changed medicine when he formulated his cell theory of disease in the 19th century: Diseases do ...
Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...
Handheld imaging device combines advanced optics with deep learning to enable early detection of epithelial cancers ...
A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.
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