首页> Sensors (Basel, Switzerland)> An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture.

An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture.

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第一作者： Qaisar,Abbas

第一单位： College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia.

作者： Qaisar,Abbas ^[1] ; Imran,Qureshi ^[2] ; Mostafa E A,Ibrahim ^[3]

作者单位： College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia. ^[1] Department of Computer Software Engineering, Military College of Signals, National University of Sciences and Technology (MCS-NUST), Islamabad 44000, Pakistan. ^[2] College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia.;Department of Electrical Engineering, Benha Faculty of Engineering, Benha University, Qalubia, Benha 13518, Egypt. ^[3]

关键词 DenseNet architecture deep-neural network diabetic retinopathy hypertensive retinopathy loss function perceptual-oriented color space retinal fundus images semantic and instance-based segmentation transfer learning

医学主题词糖尿病视网膜病变(Diabetic Retinopathy);眼底(Fundus Oculi);人类(Humans);高血压性视网膜病变(Hypertensive Retinopathy);语义学(Semantics)

DOI 10.3390/s21206936

PMID 34696149

发布时间 2024-04-03

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