Jul 15, 2022 · Intelligent defect detection systems based on deep learning have substantial potential to be applied in segmenting defects of aluminum casting parts' X-ray ...

Deep learning-based detection of internal defect types and their grades in high-pressure aluminum castings · Low-contrast X-ray image defect segmentation via a ...

Deep learning has demonstrated powerful image scene understanding capabilities. In this work, U-Net with resnet101 is taken as the baseline for defect ...

Intelligent defect detection systems based on deep learning have substantial potential to be applied in segmenting defects of aluminum casting parts' X-ray ...

Oct 22, 2024 · To achieve effective defect detection, extracting the complex features of defects from images using manual or deep learning methods is necessary ...

In this paper, considering that the defects in x-ray image are grey inhomogeneous and the scale distribution is imbalanced, we propose a two-stream CNN ...

UNet++: A Nested U-Net Architecture for Medical Image Segmentation. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision ...

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Deep learning-based defect detection and segmentation tools can help identify anomalies in medical images quickly and accurately.

Aug 28, 2024 · Deep learning-assisted segmentation of X-ray images for rapid and accurate assessment of foot arch morphology and plantar soft tissue thickness.