Multi-task glioma segmentation and IDH mutation and 1p19q codeletion classification via a deep learning model on multimodal MRI
Objectives: To develop a deep learning model for simultaneous segmentation of glioma lesions and classification of IDH mutation and 1p/19q codeletion status using multimodal MRI. Materials and Methods: We employed a CNN model with Encoder-Decoder architecture for segmentation, followed by fully conn...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
KeAi Communications Co., Ltd.
2025-06-01
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| Серии: | Meta-Radiology |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2950162825000207 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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