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Attention-enhanced SAM with PBFO tuning: advancing glioma MRI segmentation.

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第一作者： Salem,Alhatamleh

第一单位： Department of Computer Science, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid, Jordan.

作者： Salem,Alhatamleh ^[1] ; Hamad Yahia,Abu Mhanna ^[2] ; Mohammad,Amin ^[1] ; Amal,Alishwait ^[1] ; Mohammad,Latayfeh ^[3] ; Qutaiba,Mohammad ^[3] ; Ghada A,Khouqeer ^[4] ; Abdullah,Alrefai ^[5] ; Sitah,Alanazi ^[4] ; Kholoud J,Sandougah ^[6]

作者单位： Department of Computer Science, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid, Jordan. ^[1] Department of Medical Imaging, Faculty of Allied Medical Sciences, Isra University, Amman, Jordan. ^[2] Faculty of Medicine, Yarmouk University, Irbid, Jordan. ^[3] Department of Physics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. ^[4] Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan. ^[5] Department of Radiology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. ^[6]

关键词 MRI imaging deep learning glioma segmentation lower grade gliomas medical image analysis segment anything model (SAM)

DOI 10.3389/fmed.2026.1730353

PMID 41797772

发布时间 2026-03-09

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