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Adversarially Trained Convolutional Neural Networks for Semantic
  Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic
  Resonance Imaging

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging

3 August 2019
R. Sathish
Ronnie Rajan
Anusha Vupputuri
N. Ghosh
Debdoot Sheet
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Papers citing "Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging"

1 / 1 papers shown
Title
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
454
15,657
0
02 Nov 2015
1