dc.contributor.advisor | Lawah, A. I. | |
dc.contributor.author | Shuaibt, N. H. M. | |
dc.coverage.spatial | Гомель | ru_RU |
dc.date.accessioned | 2024-07-04T11:40:49Z | |
dc.date.available | 2024-07-04T11:40:49Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Shuaibt, N. H. M. Breast cancer detection using artificial intelligence techniques / N. H. M. Shuaibt; scientific supervisor A. I. Lawah // I Международный молодёжный научно-культурный форум студентов, магистрантов, аспирантов и молодых ученых [Электронный ресурс] : сборник материалов, Гомель, 5-7 марта 2024 г. / М-во образования Респ. Беларусь ; Гомельский государственный технический университет имени П. О. Сухого ; Таизский университет ; Научная организация исследований и инноваций ; под общ. ред. А. А. Бойко. – Гомель : ГГТУ им. П. О. Сухого, 2024. – С. 44. | ru_RU |
dc.identifier.uri | https://elib.gstu.by/handle/220612/36836 | |
dc.description.abstract | Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer
is one of the most common cancer types. According to the National Breast Cancer foundation, in 2020 alone, more than 276,000 new cases of invasive breast cancer and more than 48,000 non-invasive cases were diagnosed in the US. To put these figures in perspective, 64% of these cases are diagnosed early in the disease’s cycle, giving patients a 99% chance of survival. Artificial intelligence and machine learning have been used effectively in detection and treatment of several dangerous diseases, helping in early diagnosis and treatment, and thus increasing the patient’s chance of survival. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | ГГТУ им. П.О. Сухого | ru_RU |
dc.subject | Breast Cancer | ru_RU |
dc.subject | Machine Learning | ru_RU |
dc.subject | Deep Learning | ru_RU |
dc.subject | Classification | ru_RU |
dc.subject | Bioinformatics | ru_RU |
dc.title | Breast cancer detection using artificial intelligence techniques | ru_RU |
dc.type | Article | ru_RU |