Results 291 to 300 of about 197,407 (308)
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Pearls

The Physician and Sportsmedicine, 1996
'Pearls' enables sports medicine professionals to share their practical tips for treating patients. We invite you to send your contributions to Pearls Editor, THE PHYSICIAN AND SPORTSMEDICINE, 4530 W 77th St, Minneapolis, MN 55435. Address electronic submissions to psm@mill2.millcomm.com. Illustrations or photos are encouraged.
Russell D, White   +5 more
  +19 more sources

Pearls

The Physician and Sportsmedicine, 1992
'Pearls' enables sports medicine professionals to share the practical tips they've developed through treating active patients. We invite you to send your contributions to Pearls Editor, THE PHYSICIAN AND SPORTSMEDICINE, 4530 W 77th St, Minneapolis, MN 55435. Selected pearls will be published, accompanied by the author's name.
Suzanne M, Tanner   +8 more
  +13 more sources

The PEARL Approach for CT-guided Lung Biopsy: Assessment of Complication Rate.

Radiology, 2021
Background Percutaneous CT-guided biopsy of lung nodules is an established method with high diagnostic accuracy but a high rate of pneumothorax and chest tube insertion compared with endobronchial methods.
A. Najafi   +9 more
semanticscholar   +1 more source

Multiview Generative Adversarial Network and Its Application in Pearl Classification

IEEE transactions on industrial electronics (1982. Print), 2019
This paper focuses on automatic pearl classification by adopting deep learning method, using multiview pearl images. Traditionally, in order to get a satisfying classification result, we need to collect a huge number of labeled pearl images, which ...
Qi Xuan   +5 more
semanticscholar   +1 more source

On Pearl’s Hierarchy and the Foundations of Causal Inference

Probabilistic and Causal Inference, 2022
E. Bareinboim   +3 more
semanticscholar   +1 more source

Automatic Pearl Classification Machine Based on a Multistream Convolutional Neural Network

IEEE transactions on industrial electronics (1982. Print), 2018
In this paper, we design an automatic pearl classification machine, composed of four parts: feeding mechanism, delivering mechanism, vision-based detection device, and classification mechanism.
Qi Xuan   +6 more
semanticscholar   +1 more source

Microplastic abundance, distribution and composition in the Pearl River along Guangzhou city and Pearl River estuary, China.

Chemosphere, 2019
Muting Yan   +6 more
semanticscholar   +1 more source

Pearls

Postgraduate Medicine, 1991
J L, Montgomery, M, Mackey, J, Bachman
openaire   +2 more sources

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