TumorGAN: A Multi-Modal Data Augmentation Framework for Brain Tumor Segmentation

The high human labor demand involved in collecting paired medical imaging data severely impedes the application of deep learning methods to medical image processing tasks such as tumor segmentation. The situation is further worsened when collecting multi-modal image pairs. However, this issue can be...

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Detalles Bibliográficos
Autores principales: Li, Qingyun, Yu, Zhibin, Wang, Yubo, Zheng, Haiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435374/
https://www.ncbi.nlm.nih.gov/pubmed/32731598
http://dx.doi.org/10.3390/s20154203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435374/
https://www.ncbi.nlm.nih.gov/pubmed/32731598
http://dx.doi.org/10.3390/s20154203

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