DNA ploidy and cell cycle distribution of breast cancer aspirate cells measured by image cytometry and analyzed by artificial neural networks for their prognostic significance.

DNA ploidy and cell cycle distribution of breast cancer aspirate cells measured by image cytometry and analyzed by artificial neural networks for their prognostic significance.

Chromosomal abnormalities are commonly associated with cancer, and their importance in the pathogenesis of the disease has been well recognized. Also recognized in recent years is the possibility that, together with chromosomal abnormalities, DNA ploidy of breast cancer aspirate cells, measured by i...

Cur síos iomlán

Sonraí bibleagrafaíochta
Foilsithe in:IEEE Transactions on information technology in biomedicine 3, 1 (1999).
Príomhchruthaitheoir: Naguib, R.N.G
Formáid: Alt
Teanga:English
Ábhair:
DNA ploidy.
S-phase fraction size.
Artificial neural networks.
Breast cancer aspirate cells.
Breast tumors.
Cell cycle distribution.
Chromosomal abnormalities.
Data analysis.
Disease pathogenesis.
Fine needle aspirate.
Histological assessment.
Image cytometry.
Marker analysis.
Metastases.
Nodal spread.
Nuclear DNA content.
Nuclear pleomorphism.
Outcome prediction.
Prognostic significance.
Regional lymph nodes.
Subclinical metastatic disease.