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

21 Sep 2017 Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi-Wing Fu Pheng 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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Datasets


  Add Datasets introduced or used in this paper
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) 2D Dense-UNet Dice 0.4741 # 3
IoU 0.3559 # 2
Precision 0.5613 # 6
Recall 0.4875 # 2

Methods used in the Paper


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