Domain- and task-specific transfer learning for medical segmentation tasks.
Journal:
Computer methods and programs in biomedicine
Published Date:
Nov 23, 2021
Abstract
BACKGROUND AND OBJECTIVES: Transfer learning is a valuable approach to perform medical image segmentation in settings with limited cases available for training convolutional neural networks (CNN). Both the source task and the source domain influence transfer learning performance on a given target medical image segmentation task. This study aims to assess transfer learning-based medical segmentation task performance for various source task and domain combinations.
