HyperAI超神経

ホームニュース論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

サイトについて

日本語

HyperAI超神経

Liver Segmentation On Lits2017

評価指標

Dice

HD

IoU

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	Dice	HD	IoU	Paper Title	Repository
PVTFormer	86.78	3.50	78.46	CT Liver Segmentation via PVT-based Encoding and Refined Decoding
H-DenseUnet Liver	96.5	-	-	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
KiU-Net 3D Liver	-	-	89.46	KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Polar U-Net	93.02	-	89.85	Training on Polar Image Transformations Improves Biomedical Image Segmentation	-
ModelGenesis	91.13	-	79.52	Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
KiU-Net 3D	94.23	-	-	KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
H-DenseUnet Lession	82.4	-	-	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
U-Net LiS (MICCAI 17)	94	-	-	Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function
Semantic Genesis	92.27	-	85.6	Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration

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