دورية أكاديمية

Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts.

التفاصيل البيبلوغرافية
العنوان: Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts.
المؤلفون: Hoebel, Katharina V, Bridge, Christopher P, Kim, Albert, Gerstner, Elizabeth R, Ly, Ina K, Deng, Francis, DeSalvo, Matthew N, Dietrich, Jorg, Huang, Raymond, Huang, Susie Y, Pomerantz, Stuart R, Vagvala, Saivenkat, Rosen, Bruce R, Kalpathy-Cramer, Jayashree
المصدر: Acad Radiol ; ISSN:1878-4046 ; Volume:31 ; Issue:4
بيانات النشر: Elsevier Science
سنة النشر: 2024
المجموعة: PubMed Central (PMC)
مصطلحات موضوعية: Brain tumor, Qualitative methods, Quality metrics, Segmentation
الوصف: Brain tumor segmentations are integral to the clinical management of patients with glioblastoma, the deadliest primary brain tumor in adults. The manual delineation of tumors is time-consuming and highly provider-dependent. These two problems must be addressed by introducing automated, deep-learning-based segmentation tools. This study aimed to identify criteria experts use to evaluate the quality of automatically generated segmentations and their thought processes as they correct them.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://doi.org/10.1016/j.acra.2023.10.019Test; https://pubmed.ncbi.nlm.nih.gov/37951777Test
DOI: 10.1016/j.acra.2023.10.019
الإتاحة: https://doi.org/10.1016/j.acra.2023.10.019Test
https://pubmed.ncbi.nlm.nih.gov/37951777Test
حقوق: Copyright © 2024. Published by Elsevier Inc.
رقم الانضمام: edsbas.8900F855
قاعدة البيانات: BASE