(91.4%)and Otsu's thresholding(72.6%).Thus we conclude that an FCN outperforms other deep learning and conventional techniques when segmenting femur bone from soft tissue in DXA images.Accurate femur segmentation improves bone mineral density computation,which in turn enhances the diagnosing of ...
In brief, the encoder portion of the network is tasked with learning the important imaging information from the DXA scans and encoding them into a reduced number of features known as a latent space. The generator is tasked with generating the original image from the reduced features or latent ...
being detected, by the MRIs utilized in this study. Future lines of investigations should examine, perhaps with the use of emerging image segmentation approaches, the role of stellate cells and predicted liver and pancreas age. A second line of investigation includes whether accelerated abdomen age ...
(91.4%)and Otsu's thresholding(72.6%).Thus we conclude that an FCN outperforms other deep learning and conventional techniques when segmenting femur bone from soft tissue in DXA images.Accurate femur segmentation improves bone mineral density computation,which in turn enhances the diagnosing of ...
We used image segmentation, image matting, data augmentation, and DXA reports to classify the BMD and T-score values of the hip X-ray images and designed the experiments using a deep learning algorithm model to predict the BMD and T-score of the hip. A deep learning algorithm model was ...
cardiovascular diseases; DXA; retina; deep learning; machine learning; Qatar Biobank (QBB)1. Introduction Globally, cardiovascular diseases (CVDs) remain the leading cause of mortality and hence increasing healthcare costs in many countries [1]. CVDs have accounted for 32% of the overall global ...
Type of Data: Categories of data, such as imaging or tabulated clinical data, used in the study. Computational Task: The specific computational goal for which machine learning or deep learning algorithms were employed, such as object detection, segmentation, or classification. Machine Learning Models...