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Computer Methods and Programs in Biomedicine 11
Showing records 1 to 11 | Display all abstracts in Computer Methods and Programs in Biomedicine98373 Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images
Toğaçar M
Computer Methods and Programs in Biomedicine 2022; 214: 106579
99139 A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs
Yoo TK
Computer Methods and Programs in Biomedicine 2022; 219: 106735
98344 ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation
Liu B
Computer Methods and Programs in Biomedicine 2022; 213: 106530
98708 Semi-supervised learning for medical image classification using imbalanced training data
Huynh T; Nibali A
Computer Methods and Programs in Biomedicine 2022; 216: 106628
98344 ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation
Pan D
Computer Methods and Programs in Biomedicine 2022; 213: 106530
99139 A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs
Ryu IH
Computer Methods and Programs in Biomedicine 2022; 219: 106735
98344 ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation
Shuai Z
Computer Methods and Programs in Biomedicine 2022; 213: 106530
98708 Semi-supervised learning for medical image classification using imbalanced training data
He Z
Computer Methods and Programs in Biomedicine 2022; 216: 106628
99139 A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs
Kim JK; Lee IS
Computer Methods and Programs in Biomedicine 2022; 219: 106735
98344 ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation
Song H
Computer Methods and Programs in Biomedicine 2022; 213: 106530
99139 A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs
Kim HK
Computer Methods and Programs in Biomedicine 2022; 219: 106735
