Discussion on extraction and classification of digital radiographic defect features in pressure vessel welds based on gradient boosting tree model

LI Song

Physics Examination and Testing ›› 2026, Vol. 44 ›› Issue (4) : 133-140.

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Physics Examination and Testing ›› 2026, Vol. 44 ›› Issue (4) : 133-140. DOI: 10.13228/j.boyuan.issn1001-0777.20260006
Electromagnetic, radiographic, and optical technologies

Discussion on extraction and classification of digital radiographic defect features in pressure vessel welds based on gradient boosting tree model

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 44(4): 133-140 https://doi.org/10.13228/j.boyuan.issn1001-0777.20260006

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