Carpal Bone Segmentation Using Fully Convolutional Neural Network.

CONCLUSION: The results exhibit a high training accuracy value of 99.68% and a loss rate of 0.008619 for 50 epochs of training. The experiments compared 58 images against the gold standard ground truth images. The accuracy of our fully automated segmentation technique is 0.78 ± 0.06, 1.56 ±0.30 mm and 98.02% in terms of Dice Coefficient, Hausdorff Distance, and overall qualitative carpal recognition accuracy, respectively. PMID: 32008525 [PubMed - in process]

https://www.ncbi.nlm.nih.gov/pubmed/32008525?dopt=Abstract

Source: Current Medical Imaging Reviews - February 6, 2020 Category: Radiology Tags: Curr Med Imaging Rev Source Type: research