Fig. 6 | Scientific Reports

Fig. 6

From: Machine learning-based classification of histological subtypes of invasive breast cancer using MRI contralateral breast texture features

Fig. 6

Confusion matrix illustrating the performance of the tuned classification model after applying the under-sampling technique. According to the confusion matrix, the developed tuned classification model correctly predicted 317 out of 378 invasive ductal carcinoma image slices, and 101 out of 111 invasive lobular carcinoma image slices.

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