scholarly journals Classification of non-unions of the proximal humerus

2000 ◽  
Vol 24 (4) ◽  
pp. 217-220 ◽  
Author(s):  
S. L. Checchia ◽  
P. Doneux ◽  
A. N. Miyazaki ◽  
I. A. Z. Spir ◽  
R. Bringel ◽  
...  
Keyword(s):  
Proximal Humerus

scholarly journals Automated detection and classification of the proximal humerus fracture by using deep learning algorithm

2018 ◽  
Vol 89 (4) ◽  
pp. 468-473 ◽  
Author(s):  
Seok Won Chung ◽  
Seung Seog Han ◽  
Ji Whan Lee ◽  
Kyung-Soo Oh ◽  
Na Ra Kim ◽  
...  
Keyword(s):  
Deep Learning ◽  
Proximal Humerus Fracture ◽  
Proximal Humerus ◽  
Learning Algorithm ◽  
Automated Detection ◽  
Humerus Fracture ◽  
Deep Learning Algorithm

A new classification of impacted proximal humerus fractures based on the morpho-volumetric evaluation of humeral head bone loss with a 3D model

2020 ◽  
Vol 29 (10) ◽  
pp. e374-e385 ◽  
Author(s):  
Raffaele Russo ◽  
Antonio Guastafierro ◽  
Giuseppe della Rotonda ◽  
Stefano Viglione ◽  
Michele Ciccarelli ◽  
...  
Keyword(s):  
Bone Loss ◽  
Humeral Head ◽  
3D Model ◽  
Proximal Humerus ◽  
Proximal Humerus Fractures ◽  
New Classification ◽  
Humerus Fractures

The Neer classification of fractures of the proximal humerus

1988 ◽  
Vol 17 (6) ◽  
pp. 420-422 ◽  
Author(s):  
Bjarne Kristiansen ◽  
Ulrich L. S. Andersen ◽  
Claus A. Olsen ◽  
Jens-Erik Varmarken
Keyword(s):  
Proximal Humerus ◽  
Neer Classification

Classification of proximal humerus fractures: The contribution of the scapular lateral and axillary radiographs

1994 ◽  
Vol 3 (1) ◽  
pp. 24-27 ◽  
Author(s):  
Michael L. Sidor ◽  
Joseph D. Zuckerman ◽  
Tom Lyon ◽  
Kenneth Koval ◽  
Norman Schoenberg
Keyword(s):  
Proximal Humerus ◽  
Proximal Humerus Fractures ◽  
Humerus Fractures

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

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