most citedAn Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.IV2022

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub +1

When oncologists estimate cancer patient survival, they rely on multimodal data. Even though some multimodal deep learning methods have been proposed in the literature, the majorit…

eess.IV2022★ 1 cited

An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data

Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov +1

Accurate prognosis of a tumor can help doctors provide a proper course of treatment and, therefore, save the lives of many. Traditional machine learning algorithms have been eminen…