A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images. (arXiv:2201.00895v1 [eess.IV])

Diagnosis and treatment management for head and neck squamous cell carcinoma
(HNSCC) is guided by routine diagnostic head and neck computed tomography (CT)
scans to identify tumor and lymph node features. Extracapsular extension (ECE)
is a strong predictor of patients' survival outcomes with HNSCC. It is
essential to detect the occurrence of ECE as it changes staging and management
for the patients. Current clinical ECE detection relies on visual
identification and pathologic confirmation conducted by radiologists. Machine
learning (ML)-based ECE …

arxiv cancer deep neural network gradient network neural network