HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
In many cancers including head and neck squamous cell carcinoma (HNSCC), pathologic
processes are not limited to a single region of interest, but instead encompass surrounding …
processes are not limited to a single region of interest, but instead encompass surrounding …
[HTML][HTML] Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
A comprehensive and reliable survival prediction model is of great importance to assist in
the personalized management of Head and Neck Cancer (HNC) patient treated with curative …
the personalized management of Head and Neck Cancer (HNC) patient treated with curative …
Enhancing Overall Survival Prediction in Head and Neck Cancer with CT Peritumoral Radiomics and Machine Learning
Predicting the prognosis after treatment could be beneficial for patient selection and
treatment optimization of head and neck malignancies. Machine learning (ML) proved to …
treatment optimization of head and neck malignancies. Machine learning (ML) proved to …
[PDF][PDF] HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
KM Zhou, P Prasanna - papers.miccai.org
In many cancers including head and neck squamous cell carcinoma (HNSCC), pathologic
processes are not limited to a single region of interest, but instead encompass surrounding …
processes are not limited to a single region of interest, but instead encompass surrounding …