2022
DOI: 10.3389/fbioe.2022.937314
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Construction of a Medical Micro-Object Cascade Network for Automated Segmentation of Cerebral Microbleeds in Susceptibility Weighted Imaging

Abstract: Aim: The detection and segmentation of cerebral microbleeds (CMBs) images are the focus of clinical diagnosis and treatment. However, segmentation is difficult in clinical practice, and missed diagnosis may occur. Few related studies on the automated segmentation of CMB images have been performed, and we provide the most effective CMB segmentation to date using an automated segmentation system.Materials and Methods: From a research perspective, we focused on the automated segmentation of CMB targets in suscept… Show more

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Cited by 2 publications
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“…Moreover, problems related to noise in imaging modalities can also be addressed using image-denoising algorithms while detecting cerebral microbleeds [ 54 ]. Some enhanced versions of different segmentation algorithms for cerebral microbleeds can also be proposed such as 3D-UNet along with region proposal network [ 55 ], cascade network with UNet as a baseline for selecting ROI [ 56 ], triplanar ensemble detection network (TPE-Det) model [ 57 ], etc.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, problems related to noise in imaging modalities can also be addressed using image-denoising algorithms while detecting cerebral microbleeds [ 54 ]. Some enhanced versions of different segmentation algorithms for cerebral microbleeds can also be proposed such as 3D-UNet along with region proposal network [ 55 ], cascade network with UNet as a baseline for selecting ROI [ 56 ], triplanar ensemble detection network (TPE-Det) model [ 57 ], etc.…”
Section: Related Workmentioning
confidence: 99%