Fully convolutional networks for void segmentation in X-ray images of solder joints
Wankerl, Heribert, Stern, Maike Lorena, Altieri-Weimar, Paola, Al-Baddai, Saad, Lang, Kurt-Jürgen, Roider, Florian and Lang, Elmar Wolfgang (2020) Fully convolutional networks for void segmentation in X-ray images of solder joints. Journal of Manufacturing Processes 57, pp. 762-767.Date of publication of this fulltext: 11 Oct 2021 12:44
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| Item type | Article | ||||
| Journal or Publication Title | Journal of Manufacturing Processes | ||||
| Publisher: | Elsevier | ||||
|---|---|---|---|---|---|
| Place of Publication: | OXFORD | ||||
| Volume: | 57 | ||||
| Page Range: | pp. 762-767 | ||||
| Date | 2020 | ||||
| Institutions | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Identification Number |
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| Keywords | ; Deep learning; Fully convolutional networks; Image segmentation; Transfer learning; Surface-mounted technology; Voids | ||||
| Dewey Decimal Classification | 500 Science > 570 Life sciences | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 49719 |
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