EShuffleNetV2-IUNet: ensemble deep learning-based model for brain stroke classification and segmentation on computed tomography images
Background Considering the many features of tumors, brain stroke classification is a crucial topic for research in the field of medical imaging. Categorizing brain strokes from computed tomography (CT) images is one of these complex problems. Since classification accuracy is crucial, computer vision...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
PeerJ Inc.
2026-03-01
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| Series: | PeerJ Computer Science |
| Assuntos: | |
| Acceso en liña: | https://peerj.com/articles/cs-3452.pdf |
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