(pathological) femoral heads in magnetic resonance (MR) slices with the deep
Convolutional Neural Networks (CNNs) is presented. Femoral heads in bilateral hip MR
slices were successfully segmented with U-NET is an encoder-decoder network based deep
learning architecture. In the proposed study, bilateral hip MR slices which were acquired
with different imaging protocols in coronal imaging plane of the patients diagnosed with …