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dc.contributor.advisorLawah, A. I.
dc.contributor.authorShuaibt, N. H. M.
dc.coverage.spatialГомельru_RU
dc.date.accessioned2024-07-04T11:40:49Z
dc.date.available2024-07-04T11:40:49Z
dc.date.issued2024
dc.identifier.citationShuaibt, 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.urihttps://elib.gstu.by/handle/220612/36836
dc.description.abstractCancer 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.isoenru_RU
dc.publisherГГТУ им. П.О. Сухогоru_RU
dc.subjectBreast Cancerru_RU
dc.subjectMachine Learningru_RU
dc.subjectDeep Learningru_RU
dc.subjectClassificationru_RU
dc.subjectBioinformaticsru_RU
dc.titleBreast cancer detection using artificial intelligence techniquesru_RU
dc.typeArticleru_RU


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