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Employing aperio algorithm program in histological change examination
| dc.contributor.advisor | Lawah, A. I. | |
| dc.contributor.author | Majeed, Kh. A. | |
| dc.coverage.spatial | Гомель | ru_RU |
| dc.date.accessioned | 2024-06-03T15:52:28Z | |
| dc.date.available | 2024-06-03T15:52:28Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Majeed, Kh. A. Employing aperio algorithm program in histological change examination [Электронный ресурс] / Kh. A. Majeed ; scientific supervisor A. I. Lawah // E.R.A – Современная наука: электроника, робототехника, автоматизация : материалы I Междунар. науч.-техн. конф, студентов, аспирантов и молодых ученых, Гомель, 29 фев. 2024 г. / Гомел. гос. техн. ун-т им. П. О. Сухого [и др.] ; под общ. ред. А. А. Бойко. – Гомель : ГГТУ им. П. О. Сухого, 2024. – C. 154–156. | ru_RU |
| dc.identifier.uri | https://elib.gstu.by/handle/220612/35720 | |
| dc.description.abstract | In this study report, we shed light on employing APERIO algorithm program in stomach tissue examination and it enables quantification of specific colors in tissue sections and provides automated digital image analysis that enhances performance monitoring and precise assessment of IHC staining. The program's benefits include reproducibility, efficiency, and increased sensitivity in detecting nuanced changes. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | ГГТУ им. П.О. Сухого | ru_RU |
| dc.subject | Aperio algorithm | ru_RU |
| dc.subject | Digital image | ru_RU |
| dc.subject | Tissue examination | ru_RU |
| dc.title | Employing aperio algorithm program in histological change examination | ru_RU |
| dc.type | Article | ru_RU |
