1. Ensemble classifier for improve diagnosis of the breast cancer using optical coherence tomography and machine learning

    Ensemble classifier for improve diagnosis of the breast cancer using optical coherence tomography and machine learning

    The second most leading cause of death in women is breast cancer even after surgery 20%–30% patients require re-surgery for the removal of the incomplete malignant tissue. To reduce the risk of recurrence exact navigation during surgery is essential. In this paper, a multi-level ensemble model is developed to classify the normal and cancerous breast tissue using features extracted from optical coherence tomography images. Both A-line and B-scan features were extracted and the training data feature space was best-first search to select the best feature subset for each base classifier. To improve the performance of the model reverse active ...

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