A carregar...
Learning from scanners: Bias reduction and feature correction in radiomics
PURPOSE: Radiomics are quantitative features extracted from medical images. Many radiomic features depend not only on tumor properties, but also on non-tumor related factors such as scanner signal-to-noise ratio (SNR), reconstruction kernel and other image acquisition settings. This causes undesirab...
Na minha lista:
| Publicado no: | Clin Transl Radiat Oncol |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2019
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6690665/ https://ncbi.nlm.nih.gov/pubmed/31417963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ctro.2019.07.003 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|