These results demonstrate the utility of a supervised learning protocol for streamlining the analysis of collagen alignment with respect to tumor stromal boundaries.

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Automated quantification of aligned collagen for human breast carcinoma prognosis | Synapse

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Bredfeldt et al. (Wed,) studied this question.

synapsesocial.com/papers/69daba740f32475823a3da6e https://doi.org/https://doi.org/10.4103/2153-3539.139707

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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Live tissue intrinsic emission microscopy using multiphoton-excited native fluorescence and second harmonic generation2003 · 1,673 citations
2Growth factors and stromal matrix proteins associated with mammographic densities.2001 · 250 citations
3Globally optimal stitching of tiled 3D microscopic image acquisitions2009 · 2,593 citations
4Regression Models and Life-Tables1972 · 39,294 citations
5Breast Density and the Risk of Breast Cancer2002 · 33 citations