Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...

The deep multi-task learning AI analyses X-ray images of premature babies to identify intestinal perforation and its location ...

Electricity rates for individuals and small businesses could rise sharply as Amazon, Google, Microsoft and other technology companies build data centers and expand into the energy business. A ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

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Abstract: Alzheimer’s disease (AD) stands as a prevalent form of dementia, primarily impacting the elderly, and presently lacking any known cure. Early screening and intervention have demonstrated ...

Advanced deep learning solution for flower classification using transfer learning with EfficientNet-B0. Achieves 90.23% accuracy on 102 flower species from Oxford Dataset. Lightweight (17.9MB) model ...

Abstract: Scanning electron microscopy (SEM) plays an important role in providing high-resolution imaging in various fields, including industrial chip manufacturing, materials science, and nanoscale ...