Medical Image Segmentation on Anatomical Tracings of Lesions After Stroke (ATLAS)

Metric: Precision (higher is better)

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#	Model↕	Precision▼	Extra Data	Paper	Date↕	Code
1	MGA-Net	0.6773	No	-	-	-
2	X-Net	0.6	No	X-Net: Brain Stroke Lesion Segmentation Based on...	2019-07-16	Code
3	ResUNet	0.5941	No	Road Extraction by Deep Residual U-Net	2017-11-29	Code
4	SegNet	0.3938	No	SegNet: A Deep Convolutional Encoder-Decoder Arc...	2015-11-02	Code

#1MGA-Net
0.6773
Precision
No paper
#2X-NetSOTA
0.6
Precision· 2019-07-16
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies Code
#3ResUNetSOTA
0.5941
Precision· 2017-11-29
Road Extraction by Deep Residual U-Net Code
#4SegNetSOTA
0.3938
Precision· 2015-11-02
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Code