Breast Infrared Thermography Segmentation Based on Adaptive Tuning of a Fully Convolutional Network.
Journal:
Current medical imaging
Published Date:
Jan 1, 2020
Abstract
BACKGROUND: Accurate segmentation of Breast Infrared Thermography is an important step for early detection of breast pathological changes. Automatic segmentation of Breast Infrared Thermography is a very challenging task, as it is difficult to find an accurate breast contour and extract regions of interest from it. Although several semi-automatic methods have been proposed for segmentation, their performance often depends on hand-crafted image features, as well as preprocessing operations.