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TROCHANTERIC FRACTURES: ARE THE CLASSIFICATIONS RELIABLE? [PDF]

Acta Ortop Bras
Win LHZ, Meyer OD, Cruz EP, Simionato I, Schwartsmann CR, Kubaski FC.   +5 more
europepmc   +1 more source

Feasibility study of AI-assisted multi-parameter MRI diagnosis of prostate cancer. [PDF]

Sci Rep
Xu Y, Wang R, Fang Z, Tang J.
europepmc   +1 more source

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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

European Conference on Computer Vision, 2016
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32\(\times \) memory saving.
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi   +3 more
semanticscholar   +1 more source

Classification

Seminars in Neurology, 2008
In this article, we review the practical approach and diagnostic relevance of current seizure and epilepsy classification concepts and principles as a basic framework for good management of patients with epileptic seizures and epilepsy. Inaccurate generalizations about terminology, diagnosis, and treatment may be the single most important factor, next ...
Ingrid, Tuxhorn, Prakash, Kotagal
openaire   +2 more sources

Land classification and ecosystem classification

Environmental Monitoring and Assessment, 1996
Earth, the ecosphere, is a unified functional ecosystem. Ecological land classification (ELC) and regionalization divides and categorizes this unity into similar and dissimilar pieces-sectoral ecosystems - at various scales, in the interests of admiration and understanding.
openaire   +3 more sources

Classification of cardiomyopathies

2018
For over 50 years, the definition and classification of cardiomyopathies have remained anchored in the concept of ventricular dysfunction and myocardial structural remodelling due to unknown cause. The concept of idiopathic was first challenged in 2006, when the American Heart Association classification subordinated the phenotype to the aetiology ...
SINAGRA, GIANFRANCO, Di Lenarda A, Pinamonti B, BUSSANI, ROSSANA, SILVESTRI, FURIO, Mestroni L, Camerini F.   +6 more
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Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions. The method is
T. Ojala, M. Pietikäinen, Topi Mäenpää   +2 more
semanticscholar   +1 more source

Classification of Tympanoplasty

Archives of Otolaryngology - Head and Neck Surgery, 1971
The following editorial and solicited commentary about the editorial concern an important aspect of nomenclature for otologic surgery. We hope that this editorial will encourage the further discussion and application of criteria for classification of tympanoplasty.—B.R.A.
A, Wolferman, J B, Farrior
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Classification of uveitis

Acta Ophthalmologica, 2011
SummaryThe uveitis is a condition that involves inflammation of the uveal tract (i.e. iris, ciliary body, choroid) or adjacent ocular structures (e.g. retina, optic nerve, vitreous, sclera). In most cases, the etiology remains elusive and is often of an autoimmune nature.
openaire   +2 more sources

Pattern classification and scene analysis

A Wiley-Interscience publication, 1974
Provides a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition. The topics treated include Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques ...
R. Duda, P. Hart
semanticscholar   +1 more source