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Nerve optic segmentation in CT images using a deep learning model and a texture descriptor
The increased intracranial pressure (ICP) can be described as an increase in pressure
around the brain and can lead to serious health problems. The assessment of ultrasound …
around the brain and can lead to serious health problems. The assessment of ultrasound …
Computational approaches for the reconstruction of optic nerve fibers along the visual pathway from medical images: a comprehensive review
R **, Y Cai, S Zhang, T Yang, H Feng… - Frontiers in …, 2023 - frontiersin.org
Optic never fibers in the visual pathway play significant roles in vision formation. Damages of
optic nerve fibers are biomarkers for the diagnosis of various ophthalmological and …
optic nerve fibers are biomarkers for the diagnosis of various ophthalmological and …
DRA-Net: Medical image segmentation based on adaptive feature extraction and region-level information fusion
Z Huang, L Wang, L Xu - Scientific Reports, 2024 - nature.com
Medical image segmentation is a key task in computer aided diagnosis. In recent years,
convolutional neural network (CNN) has made some achievements in medical image …
convolutional neural network (CNN) has made some achievements in medical image …
Deep learning-based diagnosis of disease activity in patients with Graves' orbitopathy using orbital SPECT/CT
Abstract Purpose Orbital [99mTc] TcDTPA orbital single-photon emission computed
tomography (SPECT)/CT is an important method for assessing inflammatory activity in …
tomography (SPECT)/CT is an important method for assessing inflammatory activity in …
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging
Y Chen, X Hu, Y Zhu, X Liu, B Yi - BMC Medical Informatics and Decision …, 2024 - Springer
Background Accurate measurement of hemoglobin concentration is essential for various
medical scenarios, including preoperative evaluations and determining blood loss …
medical scenarios, including preoperative evaluations and determining blood loss …