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

IEEE Transactions on Information Technology in Biomedicine

Volumn 3, Issue 1, 1999, Pages 61-69

  Naguib, Raouf N G ^a,b   Sakim, Harsa Amylia Mat ^c   Lakshmi, M S ^d   Wadehra, Vinnie ^d   Lennard, Thomas W J ^d   Bhatavdekar, Jyotsna ^e   Sherbet, Gajanan V ^d  

^a IEEE   (India)

^b Institute for Clean Growth and Future Mobility   (United Kingdom)

^c SCHOOL OF PHYSICS   (Malaysia)

^d NEWCASTLE UNIVERSITY   (United Kingdom)

^e GUJARAT CANCER AND RESEARCH INSTITUTE   (India)

Author keywords

DNA ploidy; Flow cytometry; Histological assessment; Metastasis; Nodal involvement; Nuclear pleomorphism index; S phase fraction; Statistical analysis

Indexed keywords

CHROMOSOMES; CYTOLOGY; DISEASES; DNA; NEURAL NETWORKS; STATISTICAL METHODS;

FLOW CYTOMETRY;

MEDICAL IMAGING;

DNA;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST TUMOR; GENETICS; HUMAN; LYMPH NODE METASTASIS; PATHOLOGY; PLOIDY;

BREAST NEOPLASMS; DNA, NEOPLASM; HUMANS; LYMPHATIC METASTASIS; NEURAL NETWORKS (COMPUTER); PLOIDIES;

EID: 0033084166     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/4233.748976     Document Type: Article

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