Cargando…
A deep-learning toolkit for visualization and interpretation of segmented medical images
Generalizability of deep-learning (DL) model performance is not well understood and uses anecdotal assumptions for increasing training data to improve segmentation of medical images. We report statistical methods for visual interpretation of DL models trained using ImageNet initialization with natur...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017181/ https://www.ncbi.nlm.nih.gov/pubmed/35474999 http://dx.doi.org/10.1016/j.crmeth.2021.100107 |