CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation.
Journal:
Computer methods and programs in biomedicine
Published Date:
Oct 15, 2020
Abstract
BACKGROUND AND OBJECTIVE: An accurate segmentation of lung nodules in computed tomography images is a crucial step for the physical characterization of the tumour. Being often completely manually accomplished, nodule segmentation turns to be a tedious and time-consuming procedure and this represents a high obstacle in clinical practice. In this paper, we propose a novel Convolutional Neural Network for nodule segmentation that combines a light and efficient architecture with innovative loss function and segmentation strategy.