Research on lung tumor image segmentation algorithm based on U⁃Net; Молодежь и современные информационные технологии
| Parent link: | Молодежь и современные информационные технологии.— 2025.— С. 670-673 |
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| Main Author: | |
| Other Authors: | , |
| Summary: | Aiming at the problem of complex and variable tumor regions and fuzzy boundaries in lung CT images, an improved U⁃Net network is proposed by introducing the attention mechanism and optimizing the loss function. Training is performed on a clinical multimodal medical dataset to verify the effectiveness of the algorithm Текстовый файл |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | http://earchive.tpu.ru/handle/11683/132286 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=681259 |
| Summary: | Aiming at the problem of complex and variable tumor regions and fuzzy boundaries in lung CT images, an improved U⁃Net network is proposed by introducing the attention mechanism and optimizing the loss function. Training is performed on a clinical multimodal medical dataset to verify the effectiveness of the algorithm Текстовый файл |
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