Researchers at Kobe University have developed an AI system that can detect acromegaly, a rare hormone disorder, by analyzing photos of the back of the hand and a clenched fist. The disease often ...
Abstract: In the defect detection of patterned wafers, optical images captured by inspection systems are affected by various noises, resulting in low signal-to-noise ratios in the obtained images, ...
WILMINGTON, N.C. (WECT) - February is Heart Health Month and next week begins Congenital Heart Defect Awareness Month. Dr. Lance Lewis, a cardiologist with Novant Health, was in the studio to discuss ...
This is the first experiment of Image Segmentation for EndScopy Multi Organ Disease (EDD2020) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and an ...
To address the limited size of images and masks of the original Magnetic-tile-defect-datasets, we generated the Augmented dataset by using an offline augmentation tool ImageMaskDatasetGenerator.py. As ...
Abstract: Artificial images for defect detection have gained growing importance in the recently developed defect detection architectures. This systematic literature review examines the use of ...
The final, formatted version of the article will be published soon. To address the challenges of missed detection and false detection of bird droppings and dust defects caused by data imbalance during ...
ABSTRACT: Regular pipeline inspections are crucial for timely identification of critical defects and ensuring pipeline integrity. To address the challenges of detecting defects in PE gas pipelines ...
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