Fig. 6: False negative classifications from the testing set of whole slide images. | Modern Pathology

Fig. 6: False negative classifications from the testing set of whole slide images.

From: Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens

Fig. 6

A Intermediate-grade DCIS with cautery artifact (scale bar = 0.2 mm). B Low-grade cribriform DCIS (scale bar = 0.5 mm). C, D Two examples of well-differentiated invasive carcinoma ((C): scale bar = 0.2 mm; (D): scale bar = 0.2 mm).

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