基于MedSAM模型的視網(wǎng)膜血管圖像分割

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中圖分類號：TP391.4；TP18 文獻(xiàn)標(biāo)識碼：A 文章編號：2096-4706（2025）11-0054-05

Retinal Vessel Image Segmentation Based on the MedSAM Model

LIUYahui

(ZhejiangChineseMedicalUniversity,Hangzhou31oo53,China)

Abstract:Thesegmentationofretinalblood vessls in fundus images isof great significance for theearlydetectionand diagnosisofoculardiseases.Traditionalautomaticretinalsegmentation methodsrelyonlargeamountsoflabeleddata formodel pre-training.However,inpracticalaplications,ecaleofretialimagedatasetsislmited,andlabelingcostsarehghThis studyappliesageneralmedicalimage segmentationmodel,the Medical Segment Anything Model (MedSAM),fortransfer leaming toachieve acurateretinal segmentation under conditions of limiteddatasets.Thisstudy isevaluatedonmainstream retinal fundus imagedatasets,CHASE_DBlandSTARE.Theexperimentalresults indicate thatcompared withU-Netand U-Net ++ models,MedSAM's losscanconverge to a stable interval faster during training,and its segmentation performance leads inthreemetricsofDice Sore,IU,andPA,demonstrating excellentsegmentationpeformanceadprovidingapowerfultolfor clinical diagnosis.

Keywords:MedSAM; retina; image segmentation; medical image

0 引言

視網(wǎng)膜包含大量血管，是體內(nèi)唯一可以通過非侵入性手段深入觀察的血管系統(tǒng)[]。（剩余12803字）