Cargando…
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing
Autores principales: | Cardoso, Jaime, Van Nguyen, Hien, Heller, Nicholas, Henriques Abreu, Pedro, Isgum, Ivana, Silva, Wilson, Cruz, Ricardo, Pereira Amorim, Jose, Patel, Vishal, Roysam, Badri, Zhou, Kevin, Jiang, Steve, Le, Ngan, Luu, Khoa, Sznitman, Raphael, Cheplygina, Veronika, Mateus, Diana, Trucco, Emanuele, Abbasi, Samaneh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605450/ http://dx.doi.org/10.1007/978-3-030-61166-8_30 |
Ejemplares similares
-
Crowdsourcing airway annotations in chest computed tomography images
por: Cheplygina, Veronika, et al.
Publicado: (2021) -
Enhance Portable Radiograph for Fast and High Accurate COVID-19 Monitoring
por: Le, Ngan, et al.
Publicado: (2021) -
Machine learning for medical imaging: methodological failures and recommendations for the future
por: Varoquaux, Gaël, et al.
Publicado: (2022) -
Narrow Band Active Contour Attention Model for Medical Segmentation
por: Le, Ngan, et al.
Publicado: (2021) -
Between proteins and phenotypes: annotation and interpretation of mutations
por: Baker, Christopher JO, et al.
Publicado: (2009)