Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX
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)...
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Main Authors: | Ajay Basavanhally (Author), Michael Feldman (Author), Natalie Shih (Author), Carolyn Mies (Author), John Tomaszewski (Author), Shridar Ganesan (Author), Anant Madabhushi (Author) |
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Format: | Book |
Published: |
Elsevier,
2011-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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