Authors :
Abhishek Kumar K, Nagaraja Hebbar N, Manoja Kumara, Jaison Dsouza, Kavya
Volume/Issue :
Volume 5 - 2020, Issue 5 - May
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/30rnncM
Abstract :
Magnetic resonance magnetic imaging (MRI)
is the preferred method for identifying knee problems.
Perception of knee MRI, however, is time-intensive and
prone to error and variance in the treatment. An
automated knee translation MRI system would provide
preference to high-risk patients and assist physicians in
making diagnoses
Keywords :
MRNet, CNN, AlexNet and MRI
Magnetic resonance magnetic imaging (MRI)
is the preferred method for identifying knee problems.
Perception of knee MRI, however, is time-intensive and
prone to error and variance in the treatment. An
automated knee translation MRI system would provide
preference to high-risk patients and assist physicians in
making diagnoses
Keywords :
MRNet, CNN, AlexNet and MRI