Results 241 to 250 of about 251,998 (281)
Some of the next articles are maybe not open access.

Causal Markov Random Fields

2004
Traditionally two groups have developed extensions of 1-D Markov processes to 2-D image data. People in the first group adopt most of their ideas and tools from statistical mechanics and express the Markov nature of a random field in a noncausal way. The MRFs described in Chapter 2 are such models.
Chee Sun Won, Robert M. Gray
openaire   +1 more source

Morphological Markov random fields

Statistics & Probability Letters, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Markov Random Fields.

Journal of the American Statistical Association, 1984
Robert J. Adler, Yu A. Rozanov
openaire   +2 more sources

Radiotheranostics in oncology: Making precision medicine possible

Ca-A Cancer Journal for Clinicians, 2023
Eric Aboagye
exaly  

Genetic testing in prostate cancer management: Considerations informing primary care

Ca-A Cancer Journal for Clinicians, 2022
Veda N Giri   +2 more
exaly  

Markov random field

2001
Saul I. Gass, Carl M. Harris
openaire   +1 more source

Modern developments in germline pharmacogenomics for oncology prescribing

Ca-A Cancer Journal for Clinicians, 2022
Natalie M Reizine, Peter H O'donnell
exaly  

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