scholarly journals Diagnostic Imaging Methods and Comparative Analysis of Orbital Cavernous Hemangioma

2020 ◽  
Vol 10 ◽  
Author(s):  
Li Zhang ◽  
Xuying Li ◽  
Fei Tang ◽  
Lu Gan ◽  
Xin Wei
2021 ◽  
pp. 67-75
Author(s):  
A. A. Trefilov ◽  
E. V. Kryukov ◽  
V. N. Troyan ◽  
S. V. Tereshhuk ◽  
V. A. Suharev ◽  
...  

In this work a comparative analysis of the possibilities and efficiency of lower extremities perforator vessels visualization using the methods of Doppler ultrasound (DUS) and computed tomographic angiography (CTA) is carried out. As a result, it is shown that DUS has a number of advantages over CTA, allowing to obtain a clearer image of perforator vessels, to determine the exact location of their anatomical localization.


Author(s):  
Eduardo M. Villoria ◽  
Luciano Andrei Francio ◽  
Christian Hellen Rodrigues da Cunha ◽  
Flávio Ricardo Manzi

2013 ◽  
Vol 3 ◽  
pp. 295-298
Author(s):  
Wojciech Sraga ◽  
Jan Głowacki ◽  
Ewa Kluczewska ◽  
Jolanta Myga-Porosiło ◽  
Tomasz Legaszewski ◽  
...  

Gut ◽  
1985 ◽  
Vol 26 (8) ◽  
pp. 867-867
Author(s):  
L Kreel

2009 ◽  
Vol 56 (4) ◽  
pp. 113-119
Author(s):  
M.A. Lucic ◽  
I.S. Miucin-Vukadinovic ◽  
S.M. Lucic ◽  
K.M. Koprivek ◽  
M. Spirovski ◽  
...  

A wide spectrum of nowadays availible radiological and imaging methods in the diagnostic evaluation of patients with colorectal cancer enabled not only the improvement of primary colorectal malignancy detection, precise staging, regional involvement and metastatic spread assessment, but also the posttherapeutical estimation and follow- up. Having in mind that the exact diagnostic assessment of colorectal carcinoma by use of different imaging modalities still raises a lots of contradictories, in this report we have tried to present the possibilities of newer imaging techniques in the diagnostic evaluation of the patients with colorectal cancer.


2020 ◽  
Vol 6 (10) ◽  
pp. 105
Author(s):  
Kehinde Aruleba ◽  
George Obaido ◽  
Blessing Ogbuokiri ◽  
Adewale Oluwaseun Fadaka ◽  
Ashwil Klein ◽  
...  

With the exponential increase in new cases coupled with an increased mortality rate, cancer has ranked as the second most prevalent cause of death in the world. Early detection is paramount for suitable diagnosis and effective treatment of different kinds of cancers, but this is limited to the accuracy and sensitivity of available diagnostic imaging methods. Breast cancer is the most widely diagnosed cancer among women across the globe with a high percentage of total cancer deaths requiring an intensive, accurate, and sensitive imaging approach. Indeed, it is treatable when detected at an early stage. Hence, the use of state of the art computational approaches has been proposed as a potential alternative approach for the design and development of novel diagnostic imaging methods for breast cancer. Thus, this review provides a concise overview of past and present conventional diagnostics approaches in breast cancer detection. Further, we gave an account of several computational models (machine learning, deep learning, and robotics), which have been developed and can serve as alternative techniques for breast cancer diagnostics imaging. This review will be helpful to academia, medical practitioners, and others for further study in this area to improve the biomedical breast cancer imaging diagnosis.


2007 ◽  
Vol 15 (5) ◽  
pp. 392-398 ◽  
Author(s):  
Rívea Inês Ferreira ◽  
Francisco Haiter-Neto ◽  
Cínthia Pereira Machado Tabchoury ◽  
Frab Norberto Bóscolo

2008 ◽  
Vol 65 (2) ◽  
pp. 194-200 ◽  
Author(s):  
M. Shahabpour ◽  
M. Kichouh ◽  
E. Laridon ◽  
J.L. Gielen ◽  
J. De Mey

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