Automated Detection of Spinal Schwannomas Utilizing Deep Learning Based on Object Detection from MRI.
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DOI: 10.1097/brs.0000000000003749
Abstract: STUDY DESIGN A retrospective analysis of magnetic resonance imaging (MRI) was conducted. OBJECTIVE This study aims to develop an automated system for the detection of spinal schwannoma, by employing deep learning based on object detection… read more here.
Keywords: detection spinal; object detection; mri; based object ... See more keywords
Paraspinal Fat Stranding as an Unexpected Finding on Body Computed Tomography: A Key to Early Detection of Spinal Osteomyelitis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Imaging Science"
DOI: 10.25259/jcis_136_2019
Abstract: Objective: At present, early detection of spinal osteomyelitis is a challenge. Patients may present with non-specific symptoms and diagnostic imaging studies may be obtained for seemingly unrelated complaints. Paraspinal fat stranding on body computed tomography… read more here.
Keywords: detection spinal; body; early detection; spinal osteomyelitis ... See more keywords