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Automatic Segmentation for Fundus Hard Exudate Based on Improved Interleaved Group Convolution

In clinical diagnosis, the detection results of the fundus Hard Exudate(HE) are an important reference to assess the degree of Diabetic Retinopathy(DR).Although existing fundus HE detection models can effectively segment the features of HE lesions by deepening the number of network layers, redundant...

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Hoofdauteur: BAI Jie, ZHANG Sai, LI Yanping
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Editorial Office of Computer Engineering 2022-07-01
Reeks:Jisuanji gongcheng
Onderwerpen:
diabetic retinopathy(dr)|hard exudate(he)|interleaved group convolution(igc)|position attention mechanism|channel attention mechanism|u-shaped network
Online toegang:https://www.ecice06.com/fileup/1000-3428/PDF/20220739.pdf
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