User: Guest  Login
Title:

Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles.

Document type:
Journal Article
Author(s):
Kofler, Florian; Ezhov, Ivan; Fidon, Lucas; Pirkl, Carolin M; Paetzold, Johannes C; Burian, Egon; Pati, Sarthak; El Husseini, Malek; Navarro, Fernando; Shit, Suprosanna; Kirschke, Jan; Bakas, Spyridon; Zimmer, Claus; Wiestler, Benedikt; Menze, Bjoern H
Abstract:
A multitude of image-based machine learning segmentation and classification algorithms has recently been proposed, offering diagnostic decision support for the identification and characterization of glioma, Covid-19 and many other diseases. Even though these algorithms often outperform human experts in segmentation tasks, their limited reliability, and in particular the inability to detect failure cases, has hindered translation into clinical practice. To address this major shortcoming, we propo...     »
Journal title abbreviation:
Front Neurosci
Year:
2021
Journal volume:
15
Fulltext / DOI:
doi:10.3389/fnins.2021.752780
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/35035351
Print-ISSN:
1662-4548
TUM Institution:
Fachgebiet Neuroradiologie (Prof. Zimmer)
 BibTeX