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홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Medical Image Segmentation On Glas

평가 지표

Dice

F1

IoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Dice	F1	IoU	Paper Title	Repository
MDM	91.95	91.95	85.13	Masked Diffusion as Self-supervised Representation Learner
HistoSeg	-	-	76.73	HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
Hi-gMISnet	93.25	93.25	-	Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN
U-Net	85.45	85.45	74.78	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
UCTransNet	90.18	90.18	82.96	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
U-Net	76.26	76.26	63.03	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
MedT	81.02	81.02	69.61	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
LoGo	79.68	79.68	67.69	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Trans2Unet	89.84	89.84	82.54	Trans2Unet: Neural fusion for Nuclei Semantic Segmentation	-
U-Net++	87.56	87.56	79.13	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

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Medical Image Segmentation On Glas | SOTA | HyperAI초신경