An integrative approach for in silico glioma research

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 10 PART 2, 2010, Pages 2617-2621

  Cooper, Lee A D ^a,b   Kong, Jun ^b   Gutman, David A ^b   Wang, Fusheng ^b   Cholleti, Sharath R ^b   Pan, Tony C ^b   Widener, Patrick M ^b   Sharma, Ashish ^b   Mikkelsen, Tom ^c   Flanders, Adam E ^d   Rubin, Daniel L ^e   Van Meir, Erwin G ^b   Kurc, Tahsin M ^b   Moreno, Carlos S ^b   Brat, Daniel J ^b   Saltz, Joel H ^b  

^a Center for Comprehensive Informatics   (United States)

^b EMORY UNIVERSITY   (United States)

^c HENRY FORD HOSPITAL   (United States)

^d THOMAS JEFFERSON UNIVERSITY   (United States)

^e STANFORD UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Biology; Brain tumor; Image analysis; In silico; Microscopy

Indexed keywords

BRAIN TUMOR; BRAIN TUMORS; CANCER GENOME; COMPLEMENTARY DATA; DATA SETS; GENOMIC CHARACTERIZATION; GENOMIC DATA; GLIOBLASTOMAS; IMAGE DATASETS; IN-SILICO; MICROSCOPY; MOLECULAR CHARACTERIZATION; SCIENTIFIC RESEARCHES;

GENES; IMAGE ANALYSIS; INTEGRATION; RESEARCH; TUMORS;

DATA PROCESSING;

ARTICLE; ASTROCYTOMA; CANCER RESEARCH; COMPUTER MODEL; GLIOBLASTOMA; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MORPHOMETRICS; OLIGODENDROGLIOMA;

CELL NUCLEUS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, FACTUAL; GLIOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMMUNOHISTOCHEMISTRY;

EID: 77956939092     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2060338     Document Type: Article

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