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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Bishi He, Zhe Xu, Dong Zhou, Lei Zhang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2024-05-01
Sarja:	Heliyon
Aiheet:	Intracranial hemorrhage Intraparenchymal Subarachnoid Intraventricular Deep learning
Linkit:	http://www.sciencedirect.com/science/article/pii/S2405844024063011
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