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Details van artikel 6 van 11 gevonden artikelen
| Titel: |
Machine intelligence approach for optimization of cranial tumor image |
| Auteur: |
Tamsekar P.B. Gomase V.S. |
| Verschenen in: |
International journal of machine intelligence |
| Paginering: | Jaargang 1 (2009) nr. 2 pagina's 50-54 |
| Jaar: |
2009 |
| Inhoud: |
High-throughput image analysis is very important aspect of modern post-genomics andproteomics research. Image optimization technology is the driving force of this revolution and technology,which allows the simultaneous monitoring of expression for thousands of images. The need for accurate andreproducible research has driven the development of robust analysis frameworks for maximizing theinformation content of cancer pathological data. Image optimization is a powerful tool has multipleapplications both in clinical and cellular and molecular biology arenas. Image analysis technology has shownnew advancements in the field of biomedical research and diagnosis, it allows studying and understandingtumor activities and interactions in malignancies or diseases; therefore, it has great potential for clinicaldiagnostics in the future. |
| Uitgever: |
Bioinfo Publications (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 6 van 11 gevonden artikelen
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