Rosen's Breast Pathology
By K. Siziopikou. 2009
605 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/934b2beea84956f3a7b2e8a88a7c19f8a80c736e
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- Ji‐Xin Cheng
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- James Stephen Marron
- Heather D. Couture
- Charles M. Perou
- Marc Niethammer
- E. Castro
Citations in the corpus
- Classification of breast cancer histology images using Convolutional Neural Networks (2017, background): “The staining enhances nuclei (purple) and cytoplasm (pinkish), as well as other structures of interest [7].”
- Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype (2018, background): “The high accuracy may be due to the arrangement of epithelial and stromal cells characteristic of ductal and lobular tumors whereby lobular tumors are characterized by non-cohesive single file lines of epithelial cells infiltrating the stroma and ductal tumors are characterized by sheets or nests of”
- Cholesteryl Ester Accumulation Induced by PTEN Loss and PI3K/AKT Activation Underlies Human Prostate Cancer Aggressiveness (2014, background): “Since then, lipid accumulation has been described in many types of human cancers, including breast, brain, colon, and others (Accioly et al., 2008; Hakumäki and Kauppinen, 2000; Rosen, 2008).”