Results 311 to 320 of about 10,572,234 (361)

Diagnostic Performance of ChatGPT-4o in Classifying Idiopathic Epiretinal Membrane Based on Optical Coherence Tomography. [PDF]

J Clin Med
Sato T, Kuramoto T.
europepmc   +1 more source

Dependence of premature ventricular complexes on heart rate-it's not that simple. [PDF]

J Am Med Inform Assoc
Osakwe A, Wightman N, Deyell MW, Laksman Z, Shrier A, Bub G, Glass L, Bury TM.   +7 more
europepmc   +1 more source

LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy. [PDF]

MedComm (2020)
Liang H, Yan Z, Zhang Y, Dai K, Li H, Shen J, Li P, Jiang J, Zhang G, Zhang X, Chen H, Zhang H, Zhang Y, Liang S, Chen M, Wang X, Rao A, Wang W, Zhao L, Guo Y, He J.   +20 more
europepmc   +1 more source

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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

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