AIMC Topic: Likelihood Functions

Clear Filters Showing 91 to 93 of 93 articles

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

Medical physics Apr 1, 2016
PURPOSE: The authors are developing a computerized system for bladder segmentation in CT urography (CTU) as a critical component for computer-aided detection of bladder cancer.
Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Reference Standards Likelihood Functions Urinary Bladder Urography
View on PubMed DOI

KNOWLEDGE-ASSISTED APPROACH TO IDENTIFY PATHWAYS WITH DIFFERENTIAL DEPENDENCIES.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2016
We have previously developed a statistical method to identify gene sets enriched with condition-specific genetic dependencies. The method constructs gene dependency networks from bootstrapped samples in one condition and computes the divergence betwe...
Humans Algorithms Brain Neoplasms Gene Expression Profiling Gene Regulatory Networks Computational Biology Signal Transduction Databases, Genetic Models, Statistical Glioblastoma Knowledge Bases Likelihood Functions Systems Integration
View on PubMed

Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation.

Studies in health technology and informatics Jan 1, 2015
Recently, machine-learning techniques have spread many fields. However, machine-learning is still not popular in medical research field due to difficulty of interpreting. In this paper, we introduce a method of interpreting medical information using ...
Humans Machine Learning Algorithms Electronic Health Records Decision Support Systems, Clinical Natural Language Processing Data Interpretation, Statistical Data Mining Outcome Assessment, Health Care Likelihood Functions Effect Modifier, Epidemiologic
View on PubMed
Popular Topics
Recent Journals