Lesion Segmentation On Anatomical Tracings Of 1

Métriques

Dice

IoU

Precision

Recall

Résultats

Résultats de performance de divers modèles sur ce benchmark

					Paper Title
D-UNet	0.5349	-	0.6331	0.5243	D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
2D Dense-UNet	0.4741	0.3559	0.5613	0.4875	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
DeepLab v3+	0.4609	0.3458	0.5831	-	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
U-Net	0.4606	0.3447	0.5994	0.4449	U-Net: Convolutional Networks for Biomedical Image Segmentation
PSPNet	0.3571	0.254	0.4769	0.3335	Pyramid Scene Parsing Network

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Lesion Segmentation On Anatomical Tracings Of 1 | SOTA | HyperAI