Combining visual and textual features for medical image modality classification with ℓ-norm multiple kernel learning

Hong Wu, Lele He

Abstract: Highlights•We combine visual and text features for medical image modality classification.•ℓp–norm multiple kernel learning is used for combining different features, and compared to other feature combination methods.•One-vs-All approach is used for the multi-class problem.•ℓp-norm MKL outperforms other simple kernel combination methods to combine visual and textual features for modality classification.