Purpose: Despite recent treatment advances, esophageal cancer still has poor survival and a high morbidity. Exploratory evidence suggests that exercise can reduce cancer-related mortality and recurrence rates. Here, we investigated the effects of an exercise intervention in the first year after esophagectomy on survival in participants of the Physical ExeRcise Following Esophageal Cancer Treatment (PERFECT) trial.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
November 2023
This paper provides a definition of back-propagation through geometric correspondences for morphological neural networks. In addition, dilation layers are shown to learn probe geometry by erosion of layer inputs and outputs. A proof-of-principle is provided, in which predictions and convergence of morphological networks significantly outperform convolutional networks.
View Article and Find Full Text PDFObjective: This study investigated the patterns, predictors, and survival of recurrent disease following esophageal cancer surgery.
Background: Survival of recurrent esophageal cancer is usually poor, with limited prospects of remission.
Methods: This nationwide cohort study included patients with distal esophageal and gastroesophageal junction adenocarcinoma and squamous cell carcinoma after curatively intended esophagectomy in 2007 to 2016 (follow-up until January 2020).