We are proud to announce that the paper “Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning” has been published in the Journal of Biomedical and Health Informatics. 🎉 This research provides a promising application of AI in predictive medicine and can pave the way for the development of more accurate and personalized medical treatments. 💻📈
Check out more at https://ieeexplore.ieee.org/abstract/document/9573315?casa_token=J1rtYgM-ugcAAAAA:U19s6LI6xNl9zoIUoXDTOm7ytwudAUGDk8_XmHodORg0fcRzc_gd1MtEDR4xhyyP_hiV1hQ
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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