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, ...
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 ...
The identification of brain tumors from MRI images is very crucial for the selection of an appropriate treatment. However, the existing solution has issues with privacy and data sharing. To address ...
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from one study in 2012 to 46 in 2023. The review shows that machine learning ...
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.
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 ...
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