X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

16 Jul 2019Kehan QiHao YangCheng LiZaiyi LiuMeiyun WangQiegen LiuShanshan Wang

The morbidity of brain stroke increased rapidly in the past few years. To help specialists in lesion measurements and treatment planning, automatic segmentation methods are critically required for clinical practices... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) X-Net Dice 0.4867 # 2
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) X-Net IoU 0.3723 # 1
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) X-Net Precision 0.6000 # 2
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) X-Net Recall 0.4752 # 3