https://libeldoc.bsuir.by/handle/123456789/52377| Title: | The adaptive boosting algorithm in biomedical image segmentation |
| Authors: | Zhao Di Tang Yi |
| Keywords: | материалы конференций;machine learning;magnetic resonance imaging;biomedical image |
| Issue Date: | 2023 |
| Publisher: | БГУИР |
| Citation: | Zhao Di. The adaptive boosting algorithm in biomedical image segmentation / Zhao Di, Tang Yi // Информационные технологии и управление : материалы 59-ой научной конференции аспирантов, магистрантов и студентов, Минск, 17–21 апреля 2023 года / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2023. – С. 56. |
| Abstract: | Adaptive Boosting is a powerful machine learning algorithm that has been widely used in biomedical image segmentation due to its ability to handle high-dimensional feature spaces and improve classication accuracy. In this paper, we will introduce the principles and applications of AdaBoost and discuss its advantages and disadvantages. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/52377 |
| Appears in Collections: | Информационные технологии и управление : материалы 59-й научной конференции аспирантов, магистрантов и студентов (2023) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Zhao_Di_The_adaptive.pdf | 316.59 kB | Adobe PDF | View/Open |
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