In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 87-90

  Kong, Jun ^a   Cooper, Lee ^a   Moreno, Carlos ^a   Wang, Fusheng ^a   Kurc, Tahsin ^a   Saltz, Joel ^a   Brat, Daniel ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS METHOD; COMPUTERIZED ANALYSIS; DIGITIZED IMAGES; DISEASE PROGRESSION; FEATURE ANALYSIS; GLIOBLASTOMAS; HIGH-THROUGHPUT; IN-SILICO; MICROSCOPY IMAGES; NUMERICAL FEATURES; TREATMENT RESPONSE;

ALGORITHMS; COMPUTER GRAPHICS; DISEASE CONTROL; IMAGE PROCESSING;

PATIENT TREATMENT;

ANTINEOPLASTIC AGENT;

ARTICLE; BRAIN TUMOR; CELL NUCLEUS; COMPUTER ASSISTED DIAGNOSIS; GLIOBLASTOMA; HUMAN; METHODOLOGY; MICROSCOPY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME;

ANTINEOPLASTIC AGENTS; BRAIN NEOPLASMS; CELL NUCLEUS; GLIOBLASTOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME;

EID: 84861927250     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6089903     Document Type: Conference Paper

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