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

العربية

Medical Image Segmentation On Bkai Igh

المقاييس

Average Dice

mIoU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Average Dice	mIoU	Paper Title	Repository
TGANet	0.9023	0.8409	TGANet: Text-guided attention for improved polyp segmentation
ColonSegNet	0.6881	-	Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
QTSeg	-	-	QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation
BlazeNeo	0.78802	-	BlazeNeo: Blazing fast polyp segmentation and neoplasm detection
FocalUNet	0.8021	-	Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation
NeoUNet	0.80723	-	NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection	-
EMCAD	0.9296	-	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
TransResU-Net	0.9154	0.8568	TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
RaBiT	0.94	0.886	RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation

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Medical Image Segmentation On Bkai Igh | SOTA | HyperAI