H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

21 Sep 2017Xiaomeng LiHao ChenXiaojuan QiQi DouChi-Wing FuPheng Ann Heng

Liver cancer is one of the leading causes of cancer death. To assist doctors in hepatocellular carcinoma diagnosis and treatment planning, an accurate and automatic liver and tumor segmentation method is highly demanded in the clinical practice... (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) 2D Dense-UNet Dice 0.4741 # 3
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) 2D Dense-UNet IoU 0.3559 # 2
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) 2D Dense-UNet Precision 0.5613 # 6
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) 2D Dense-UNet Recall 0.4875 # 2