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Japanese Journal of Ophthalmology 10

Showing records 1 to 10 | Display all abstracts in Japanese Journal of Ophthalmology

84865 Comparisons of photopic negative responses elicited by different conditions from glaucomatous eyes
Hara Y
Japanese Journal of Ophthalmology 2020; 64: 114-126

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84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Lee J
Japanese Journal of Ophthalmology 2020; 64: 68-76

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84865 Comparisons of photopic negative responses elicited by different conditions from glaucomatous eyes
Machida S
Japanese Journal of Ophthalmology 2020; 64: 114-126

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84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Kim YK; Jeoung JW
Japanese Journal of Ophthalmology 2020; 64: 68-76

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84865 Comparisons of photopic negative responses elicited by different conditions from glaucomatous eyes
Ebihara S; Ishizuka M
Japanese Journal of Ophthalmology 2020; 64: 114-126

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84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Ha A
Japanese Journal of Ophthalmology 2020; 64: 68-76

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84865 Comparisons of photopic negative responses elicited by different conditions from glaucomatous eyes
Tada A
Japanese Journal of Ophthalmology 2020; 64: 114-126

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84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Kim YW
Japanese Journal of Ophthalmology 2020; 64: 68-76

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84865 Comparisons of photopic negative responses elicited by different conditions from glaucomatous eyes
Nishimura T
Japanese Journal of Ophthalmology 2020; 64: 114-126

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84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Park KH
Japanese Journal of Ophthalmology 2020; 64: 68-76

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