Application of reinforcement learning for segmentation of transrectal ultrasound images

BACKGROUND: Among different medical image modalities, ultrasound imaging has a very widespread clinical use. But, due to some factors, such as poor image contrast, noise and missing or diffuse boundaries, the ultrasound images are inherently difficult to segment. An important application is estimati...

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Detalles Bibliográficos
Autores principales: Sahba, Farhang, Tizhoosh, Hamid R, Salama, Magdy MA
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2397386/
https://www.ncbi.nlm.nih.gov/pubmed/18430220
http://dx.doi.org/10.1186/1471-2342-8-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2397386/
https://www.ncbi.nlm.nih.gov/pubmed/18430220
http://dx.doi.org/10.1186/1471-2342-8-8

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