Deep multiscale convolutional feature learning for intracranial hemorrhage classification and weakly supervised localization
Objective: This study evaluated the performance of attentional fusion model-based multiscale features in classifying intracerebral hemorrhage and the localization of bleeding focus based on weakly supervised target localization. Methods: A publicly available dataset provided by the American College...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2024-05-01
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| Series: | Heliyon |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S2405844024063011 |
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