This technique combines deep learningdigital twin technologies to connect the designconstruction processto achieve construction-site rebar inspection, issue tracking, verificationmaintenance. This core component of this method is based on the image collection of rebar frames, digital twin creation, cooperative machine learning,the rebar inspection module development. The BIM model was automatically matchedcompared with the 4D digital twin with features of point cloudtime sequence.

"The IHC staining intensity grading algorithm combines a series of complementary processes of deep learningimage processing in order to overcome the difficulties in cell boundary segmentationgrade definition,provides a cell-based IHC staining intensity gradingquantification capability. The proposed method serves as a useful assistive tool for physicians in performing accurate staining quantification in tissue microscopic images. In addition, it analyzes panoramic pathological images in order to determine the factors most strongly associated with likely disease recurrence."