A Neoteric Feature Extraction Technique to Predict the Survival of Gastric Cancer Patients
Warid Islam,
Neman Abdoli,
Tasfiq E. Alam
et al.
Abstract:Background: At the time of cancer diagnosis, it is crucial to accurately classify malignant gastric tumors and the possibility that patients will survive. Objective: This study aims to investigate the feasibility of identifying and applying a new feature extraction technique to predict the survival of gastric cancer patients. Methods: A retrospective dataset including the computed tomography (CT) images of 135 patients was assembled. Among them, 68 patients survived longer than three years. Several sets of rad… Show more
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