Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning.

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

Volumn 2011, Issue , 2011, Pages 868-877

  Mani, Subramani ^a   Chen, Yukun ^b   Arlinghaus, Lori R ^b   Li, Xia ^b   Chakravarthy, A Bapsi ^b   Bhave, Sandeep R ^b   Welch, E Brian ^b   Levy, Mia A ^b   Yankeelov, Thomas E ^b  

^a VANDERBILT UNIVERSITY   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ADJUVANT THERAPY; ARTICLE; ARTIFICIAL INTELLIGENCE; BREAST TUMOR; CANCER STAGING; FEMALE; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROGNOSIS;

ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; NEOADJUVANT THERAPY; NEOPLASM STAGING; PROGNOSIS;

EID: 84872897190     PISSN: None     EISSN: 1942597X     Source Type: Journal    
DOI: None     Document Type: Article

References (0)