Fully convolutional networks for void segmentation in X-ray images of solder joints

Research article (Journal of Manufacturing Processes, 2020) · cited 25× · AI/ML
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Fully convolutional networks for void segmentation in X-ray images of solder joints

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Fully convolutional networks for void segmentation in X-ray images of solder joints is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fully convolutional networks for void segmentation in X-ray images of solder joints. Retrieved May 24, 2026, from https://4ort.xyz/entity/fully-convolutional-networks-for-void-segmentation-in-x-ray-images-of-solder-joints
MLA “Fully convolutional networks for void segmentation in X-ray images of solder joints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fully-convolutional-networks-for-void-segmentation-in-x-ray-images-of-solder-joints.
BibTeX @misc{4ortxyz_fully-convolutional-networks-for-void-segmentation-in-x-ray-images-of-solder-joints_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fully convolutional networks for void segmentation in X-ray images of solder joints}}, year = {2026}, url = {https://4ort.xyz/entity/fully-convolutional-networks-for-void-segmentation-in-x-ray-images-of-solder-joints}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fully convolutional networks for void segmentation in X-ray images of solder joints — https://4ort.xyz/entity/fully-convolutional-networks-for-void-segmentation-in-x-ray-images-of-solder-joints (retrieved 2026-05-24)

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