دورية أكاديمية
Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts.
العنوان: | Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts. |
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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 |
DOI: | 10.1016/j.acra.2023.10.019 |
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