Liver Tumor Detection
Description
This study employs a 2D convolutional neural network (CNN) for automatic liver tumor segmentation in CT images. It uses a pyramid-based UNet model with short skip connections to improve both segmentation accuracy and processing speed. The approach emphasizes early detection of liver tumors to facilitate timely medical intervention.
Creator
University of Colorado Boulder
Information
Pediatrics or Adult
Adult
Speciality
Gastroenterology
Modality
CT scan
Training
Github
Publication
FDA