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  Indian J Med Microbiol
 

Figure 7: Invasive ductal carcinoma segmentation where we see the original sample (a) with the pathologist annotated region shown in green. From (b) we can see the results generated by the resizing approach, (c) shows the same results without resizing, (d) shows the output when resizing and balancing the training set and (e) finally resizing with dropout, where the more red a pixel is, the more likely it represents an invasive ductal carcinomas pixel. We note that the upper half of the image actually contains true positives which were not annotated by the pathologist

Figure 7: Invasive ductal carcinoma segmentation where we see the original sample (a) with the pathologist annotated region shown in green. From (b) we can see the results generated by the resizing approach, (c) shows the same results without resizing, (d) shows the output when resizing and balancing the training set and (e) finally resizing with dropout, where the more red a pixel is, the more likely it represents an invasive ductal carcinomas pixel. We note that the upper half of the image actually contains true positives which were not annotated by the pathologist