Predictive Medicine and Deep Learning

NEW PUBLICATION – Predictive Medicine for Salivary gland tumours identification through Deep Learning is the title of the article published by M.O.D.A.L. on IEEE Journal of Biomedical and Health Informatics.

This research work presents and discusses a Deep Learning-based framework for automatic segmentation and classification of salivary gland tumours. Furthermore, we propose an explainable segmentation learning approach supporting the effectiveness of the proposed framework through a per-epoch learning process analysis and the attention map mechanism. The proposed framework was evaluated with a collected CT dataset of patients with salivary gland tumours. Experimental results show that our methodology achieves significant scores on both segmentation and classification tasks.

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