Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX

• Main Authors: Ajay Basavanhally (Author), Michael Feldman (Author), Natalie Shih (Author), Carolyn Mies (Author), John Tomaszewski (Author), Shridar Ganesan (Author), Anant Madabhushi (Author)
• Format: Book
• Published: Elsevier, 2011-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

In this paper, we attempt to quantify the prognostic information embedded in multi-parametric histologic biopsy images to predict disease aggressiveness in estrogen receptor-positive (ER+) breast cancers (BCa). The novel methodological contribution is in the use of a multi-field-of-view (multi-FOV)...