Results 41 to 50 of about 5,104 (219)
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose Efficient and reliable magnetic resonance imaging (MRI)‐based diagnosis of early avascular necrosis of the femoral head (AVNFH) is essential for guiding treatment but remains challenging due to variability in clinician experience. Deep learning (DL) models offer a promising solution. This review evaluates and summarizes the performance
Khaled Skaik +4 more
wiley +1 more source
Similarity -Based Pattern Recognition for Disease Symptom Extraction and Characterization [PDF]
Neutrosophic Sets and SystemsNeutrosophic Fuzzy Sets (NFS) expand upon classical fuzzy sets in the field of fuzzy set theory by including measures of truth, indeterminacy, and falsity.
Priya Mathews +2 more
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Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation
The Laryngoscope, EarlyView.A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Ashley Micuda +11 more
wiley +1 more source
The μ-topological Hausdorff dimension
Extracta Mathematicae, 2019 In 2015, R. Balkaa, Z. Buczolich and M. Elekes introduced the topological Hausdorff dimension which is a combination of the definitions of the topological dimension and the Hausdorff dimension.
Hela Lofti
doaj
Hausdorff measures and KMS states [PDF]
Indiana University Mathematics Journal, 2013 18 pages, 1 ...
Ionescu, Marius, Kumjian, Alex
openaire +2 more sources
Laser &Photonics Reviews, EarlyView.Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley +1 more source
Visibility and Intersection Density for Boolean Models in Hyperbolic Space
Mathematische Nachrichten, EarlyView.ABSTRACT For Poisson particle processes in hyperbolic space we introduce and study concepts analogous to the intersection density and the mean visible volume, which were originally considered in the analysis of Boolean models in Euclidean space. In particular, we determine a necessary and sufficient condition for the finiteness of the mean visible ...
Tillmann Bühler +2 more
wiley +1 more source
The hausdorff metric and measurable selections
Topology and its Applications, 1985 We contruct measurable selections for closed set-valued maps into arbitrary complete metric spaces. We do not need to make any separability assumptions. We view the set-valued maps as point-valued maps into the hyperspace and our measurability assumptions are the usual kinds of measurability of point-valued maps in this setting.
Himmelberg, C.J. +2 more
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On the Existential Theory of the Completions of a Global Field
Mathematische Nachrichten, EarlyView.ABSTRACT We discuss the common existential theory of all or almost all completions of a global function field.
Philip Dittmann, Arno Fehm
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On typical Markov operators acting on Borel measures
Abstract and Applied Analysis, 2005 It is proved that, in the sense of Baire category, almost every Markov operator acting on Borel measures is asymptotically stable and the Hausdorff dimension of its invariant measure is equal to zero.
Tomasz Szarek
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