Detecting lumbar lesions in

التفاصيل البيبلوغرافية
العنوان: Detecting lumbar lesions in
المؤلفون: Yoann, Petibon, Frederic, Fahey, Xinhua, Cao, Zakhar, Levin, Briana, Sexton-Stallone, Anthony, Falone, Katherine, Zukotynski, Neha, Kwatra, Ruth, Lim, Zvi, Bar-Sever, Yanis, Chemli, S Ted, Treves, Georges El, Fakhri, Jinsong, Ouyang
المصدر: Medical physicsREFERENCES. 48(8)
سنة النشر: 2021
مصطلحات موضوعية: Tomography, Emission-Computed, Single-Photon, Deep Learning, Physicians, Humans, Technetium Tc 99m Medronate, Child, Retrospective Studies
الوصف: Sixty-five lesion-absent (LA)The deep learning (DL) system slightly outperformed human observers, achieving an area under the LROC curve (AUCThe DL system provides comparable or superior performance than physicians in localizing small
تدمد: 2473-4209
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::109a5cb6ab24fd8b956e7fe2cb726c8c
https://pubmed.ncbi.nlm.nih.gov/34101855
رقم الأكسشن: edsair.pmid..........109a5cb6ab24fd8b956e7fe2cb726c8c
قاعدة البيانات: OpenAIRE