scholarly journals Diagnosis of Liver Neoplasms by Computational and Statistical Image Analysis

2019 ◽  
Vol 12 (6) ◽  
pp. 288-298
Author(s):  
Rong Xia ◽  
Amir M. Boroujeni ◽  
Stephanie Shea ◽  
Yongsheng Pan ◽  
Raag Agrawal ◽  
...  
2016 ◽  
Vol 30 (7) ◽  
pp. 477-483 ◽  
Author(s):  
Kosuke Hida ◽  
Masanari Nonokuma ◽  
Yasuo Kuwabara ◽  
Tomonobu Tani ◽  
Koichi Takano ◽  
...  

2014 ◽  
Vol 7 (1) ◽  
pp. 45-54
Author(s):  
Koki Nikaido ◽  
Kazumi Matsuda ◽  
Fumihiro Nakamura ◽  
Yushi Inoue ◽  
Tateki Fujiwara ◽  
...  

Author(s):  
Kazuhisa Takemura ◽  
◽  
Iyuki Takasaki ◽  
Yumi Iwamitsu ◽  

We propose statistical image analysis for psychological projective drawings to facilitate assessing the reliability of the projective drawing making the determination of its validity difficult. Standard analysis involves (1) drawing a picture, (2) scanning the drawing, (3) dividing the drawing, (4) analyzing the gray level histogram moment (GLHM), (5) applying spatial gray level dependence method (SGLDM), (6) applying the gray level difference method (GLDM) for the drawing, and (7) interpreting the drawing. To demonstrate the proposed procedure, we used the tree test (Baum test). Three adults were presented with blank A4 paper and asked to draw a picture of a tree with fruit on it. Drawings were analyzed by statistical image analysis and results interpreted clinically.


2001 ◽  
Vol 31 (2) ◽  
pp. 191-199 ◽  
Author(s):  
Graham W Horgan ◽  
Mike Talbot ◽  
Jonathan C Davey

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