X-Net

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical4 results

Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Dice· 2019-07-16
0.4867
SOTA
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies arXiv:1907.07000
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
IoU· 2019-07-16
0.3723
best: 0.3803 (MGA-Net)
SOTA
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies arXiv:1907.07000
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Precision· 2019-07-16
0.6
best: 0.6773 (MGA-Net)
SOTA
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies arXiv:1907.07000
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Recall· 2019-07-16
0.4752
SOTA
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies arXiv:1907.07000