Christopher P. Bridge

Sep 13, 2024 | digitalcommons.library.tmc.edu | Katharina V. Hoebel |Christopher P. Bridge |Sara Ahmed |Oluwatosin Akintola

AbstractPurpose To present results from a literature survey on practices in deep learning segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a four-point scale were collected from medical professionals for 60 brain tumor segmentation cases.