In recent years, convolutional neural networks (CNNs) have shown their advantages on MR image super-resolution (SR) tasks. Many current SR models, however, have heavy demands on computation and memory, which are
Zhong Xu et al (2024) An intelligent MRI assisted diagnosis and treatment system for osteosarcoma based on super-resolution. Complex Intell Syst. https://doi.org/10.1007/s40747-024-01479-z Article Google Scholar Tang X, Liu J (2024) Artificial intelligence multiprocessing scheme for pathology ...
Insights into Imaging (2025)16:44 https://doi.org/10.1186/s13244-025-01911-z ORIGINAL ARTICLE Open Access Super-resolution synthetic MRI using deep learning reconstruction for accurate diagnosis of knee osteoarthritis Kejun Wang1, Weiyin Vivian Liu2, Renjie Yang1, Liang Li1, Xuefang Lu1, ...
As the field continues to evolve, the integration of CNNs in brain tumor detection holds immense potential. It not only addresses the limitations of traditional methods but also sets the stage for a more accurate, efficient, and transformative approach to diagnosing brain tumors from MRI scans. I...
Multiple intermediate layers within a neural network are fundamental to deep learning (DL), facilitating the resolution of complex problems and improving predictive accuracy by increasing the number of hidden layers. Despite their strengths, deep learning models are challenging to interpret when it ...
Filtered to structures with any observed side chains and resolution better than 2.5 Å (n = 5,317 protein chains); side chains were further filtered to B-factor <30 Å2. A rotamer is classified as correct if the predicted torsion angle is within 40°. Each point aggregates...
ProjectPathologyResolution (isotropic)b-ValuesPreprocessingScanner field strength TRACEDa healthy 2.5 mm 3x b = 0 mm/s2 denoising, eddy current and motion correction 3T 20x b = 1000 mm/s2 48x b = 2000 mm/s2 64x b = 3000 mm/s2 Internal (Healthy) healthy 2.5...
Filtered to structures with any observed side chains and resolution better than 2.5 Å (n = 5,317 protein chains); side chains were further filtered to B-factor <30 Å2. A rotamer is classified as correct if the predicted torsion angle is within 40°. Each point aggregates...
aTypically, an MRI delivers an image of the brain case, with a resolution of approximately 1 cubic millimeter. Since the brain is about one cubic decimeter, our tumor image sits inside a 100 x 100 x 100 voxel space, where each voxel represents 1mm3. We assume that the shape given by ...
AI Makes Portable Low-field MRI as Accurate as Standard MRI for Detecting Brain Atrophydoi:10.1097/01.wnt.0001098724.91909.09Dan HurleyWolters Kluwer Health, Inc.Neurology Today