Title
Machine Learning-based Image Processing in Support of Discus Hernia Diagnosis
Abstract
Diagnosing lumbar discus hernia is a challenging task, due to disc and vertebral variations in size, shape, quantity, and appearance. Medical history and physical examination, electrodiagnostic tests, and MRIs are all used by doctors to set a definitive diagnosis. A majority of the state-of-the-art methods are semi-automatic and require extra corrections to the solution or are extremely sensitive ...
Year
DOI
Venue
2021
10.1109/BIBE52308.2021.9635305
2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)
Keywords
DocType
ISSN
disc herniation,convolutional neural network,segmentation,U-net,centroid distance function
Conference
2471-7819
ISBN
Citations 
PageRank 
978-1-6654-4261-9
0
0.34
References 
Authors
0
6