الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Lesion Segmentation On Isic 2018

المقاييس

mean Dice

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	mean Dice	Paper Title	Repository
DoubleU-Net	0.8962	DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
ProMISe	0.921	ProMISe: Promptable Medical Image Segmentation using SAM
BCDU-net	0.847	Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
MSRF-Net	0.8813	MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
AIM++ (256x256, 1.5m parameters, 10% labeled data, no pretraining)	0.85	Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs
U-Net + FTL	0.829	A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
Attn U-Net + DL	0.806	A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
MobileUNETR	0.9074	MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
RMSM UNet + DF-RAM +EF-RAM	0.9152	Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism	-
MCGU-Net	0.895	Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
BCDU-Net (d=3)	-	Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
Polar Res-U-Net++	0.9253	Training on Polar Image Transformations Improves Biomedical Image Segmentation
Attn U-Net + Multi-Input + FTL	0.856	A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
DermoSegDiff-A	0.9005	DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
DuAT	0.923	DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
BAT	0.912	Boundary-aware Transformers for Skin Lesion Segmentation

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