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 ...
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: Wounds not only harm the physical and mental health of patients, but also introduce huge medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical examinations ...
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 three-stage pipeline progressed from slit-lamp image training to smartphone optimization and public self-capture, incorporating human-computer interface refinements and preprocessing to improve real ...
Chinese Scientists Use Digital Twins to Streamline AI Training on Light-Based Systems ...
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