Bayesian level set method based on statistical hypothesis test and estimation of prior probabilities for image segmentation

2010 ◽  
Author(s):  
Yao-Tien Chen
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Hypothesis Test ◽  
Statistical Hypothesis ◽  
Prior Probabilities ◽  
Statistical Hypothesis Test

Parameter Estimation for Industrial Servomotor by Using Statistical Hypothesis Test

2019 ◽  
Vol 19 (2) ◽  
pp. 134-140
Author(s):  
Baek-Ju Sung ◽  
Sung-kyu Lee ◽  
Mu-Seong Chang ◽  
Do-Sik Kim
Keyword(s):  
Parameter Estimation ◽  
Hypothesis Test ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Test

New normalized nonlocal hybrid level set method for image segmentation

2017 ◽  
Vol 32 (4) ◽  
pp. 407-421
Author(s):  
Qiong Lou ◽  
Jia-lin Peng ◽  
De-xing Kong ◽  
Chun-lin Wang
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set

scholarly journals Combining interpolation and 3D level set method (I+3DLSM) for medical image segmentation

2016 ◽  
Vol 52 (8) ◽  
pp. 592-594 ◽  
Author(s):  
T. Doshi ◽  
G. Di Caterina ◽  
J. Soraghan ◽  
L. Petropoulakis ◽  
D. Grose ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Medical Image ◽  
Medical Image Segmentation

Item-specific overlap between hallucinatory experiences and cognition in the general population: A three-step multivariate analysis of international multi-site data

2021 ◽  
Author(s):  
Abhijit Mahesh Chinchani ◽  
Mahesh Menon ◽  
Meighen Roes ◽  
Heungsun Hwang ◽  
Paul Allen ◽  
...  
Keyword(s):  
Signal Detection ◽  
Source Monitoring ◽  
Hypothesis Test ◽  
The Other ◽  
Statistical Hypothesis ◽  
Auditory Signal ◽  
Attentional Processes ◽  
Hearing Voices ◽  
Statistical Hypothesis Test ◽  
Using Data

Cognitive mechanisms hypothesized to underlie hallucinatory experiences (HEs) include dysfunctional source monitoring, heightened signal detection, or impaired attentional processes. HEs can be very pronounced in psychosis, but similar experiences also occur in nonclinical populations. Using data from an international multisite study on nonclinical subjects (N = 419), we described the overlap between two sets of variables - one measuring cognition and the other HEs - at the level of individual items, allowing extraction of item-specific signal which might considered off-limits when summary scores are analyzed. This involved using a statistical hypothesis test at the multivariate level, and variance constraints, dimension reduction, and split-half reliability checks at the level of individual items. The results showed that (1) modality-general HEs involving sensory distortions (hearing voices/sounds, troubled by voices, everyday things look abnormal, sensations of presence/movement) were associated with more liberal auditory signal detection, and (2) HEs involving experiences of sensory overload and vivid images/imagery (viz., HEs for faces and intense daydreams) were associated with other-ear distraction and reduced laterality in dichotic listening. Based on these results, it is concluded that the overlap between HEs and cognition variables can be conceptualized as modality-general and bi-dimensional: one involving distortions, and the other involving overload or intensity.

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