Cargando…
AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows
INTRODUCTION: Methods that automatically flag poor performing predictions are drastically needed to safely implement machine learning workflows into clinical practice as well as to identify difficult cases during model training. METHODS: Disagreement between the fivefold cross-validation sub-models...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540615/ https://www.ncbi.nlm.nih.gov/pubmed/37780641 http://dx.doi.org/10.3389/fradi.2023.1223294 |