Cargando…
Segmentation and classification of medical images using texture-primitive features: Application of BAM-type artificial neural network
The objective of developing this software is to achieve auto-segmentation and tissue characterization. Therefore, the present algorithm has been designed and developed for analysis of medical images based on hybridization of syntactic and statistical approaches, using artificial neural network (ANN)...
Autores principales: | Sharma, Neeraj, Ray, Amit K., Sharma, Shiru, Shukla, K. K., Pradhan, Satyajit, Aggarwal, Lalit M. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2772042/ https://www.ncbi.nlm.nih.gov/pubmed/19893702 http://dx.doi.org/10.4103/0971-6203.42763 |
Ejemplares similares
-
Automated medical image segmentation techniques
por: Sharma, Neeraj, et al.
Publicado: (2010) -
BamBam: genome sequence analysis tools for biologists
por: Page, Justin T, et al.
Publicado: (2014) -
Improper Coordination of BamA and BamD Results in Bam Complex Jamming by a Lipoprotein Substrate
por: Tata, Muralidhar, et al.
Publicado: (2019) -
BamA and BamD Are Essential for the Secretion of Trimeric Autotransporter Adhesins
por: Rooke, Jessica L., et al.
Publicado: (2021) -
Asymmetric DNA recognition by the OkrAI endonuclease, an isoschizomer of BamHI
por: Vanamee, Éva Scheuring, et al.
Publicado: (2011)