Medical Image Segmentation On Isic 2018 1

DSC

mIoU

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
ProMISe	92.10	85.00	ProMISe: Promptable Medical Image Segmentation using SAM
PVT-GCASCADE	91.51	86.53	G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
EMCAD	90.96	-	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
UNeXt	89.70	-	UNeXt: MLP-based Rapid Medical Image Segmentation Network
FANet	87.31	-	FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

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