prostatic calculus
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2021 ◽  
Vol 2 (1) ◽  
pp. 44
Author(s):  
Ruipeng Tang ◽  
Chuan Xiao

Prostatic calculus is a common disease of the urinary system, Prostate stones are more common in middle-aged and elderly men, With the development of ultrasonic diagnosis, more and more patients with prostate stone were found in physical examination,According to research shows,The vast majority of patients with benign prostatic hyperplasia in the pathogenesis of examination was found to have prostate stones, but so far the correlation between prostate stones and benign prostatic hyperplasia is still not very clear,Benign prostatic hyperplasia is an important factor affecting the physical and mental health and quality of life of the elderly male, With an increasing trend of population aging in China more quickly, this problem is more and more outstanding, but also allows us to further study the relationship between prostate stones and benign prostatic hyperplasia.


2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Zhuocai Wang ◽  
Xiangmin Xu ◽  
Xiaojun Ding ◽  
Hui Xiao ◽  
Yusheng Huang ◽  
...  

Identification of prostatic calculi is an important basis for determining the tissue origin. Computation-assistant diagnosis of prostatic calculi may have promising potential but is currently still less studied. We studied the extraction of prostatic lumina and automated recognition for calculus images. Extraction of lumina from prostate histology images was based on local entropy and Otsu threshold recognition using PCA-SVM and based on the texture features of prostatic calculus. The SVM classifier showed an average time 0.1432 second, an average training accuracy of 100%, an average test accuracy of 93.12%, a sensitivity of 87.74%, and a specificity of 94.82%. We concluded that the algorithm, based on texture features and PCA-SVM, can recognize the concentric structure and visualized features easily. Therefore, this method is effective for the automated recognition of prostatic calculi.


2010 ◽  
Vol 39 (2) ◽  
pp. 153-155 ◽  
Author(s):  
Masanori Hasegawa ◽  
Rei Ohara ◽  
Kent Kanao ◽  
Yosuke Nakajima

1998 ◽  
Vol 7 (3) ◽  
pp. 223-225
Author(s):  
M.H. Dahniya ◽  
B.I. Emechete ◽  
S. Asegbu

1947 ◽  
Vol 57 (4) ◽  
pp. 746-752 ◽  
Author(s):  
Alberto Gentile
Keyword(s):  

1935 ◽  
Vol 104 (10) ◽  
pp. 805 ◽  
Author(s):  
GERSHOM J. THOMPSON ◽  
EDWARD N. COOK

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