KFU. Card publication. Segmentation of retinal blood vessels using Fully Convolutional Networks on the drive dataset

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FEDERAL UNIVERSITY

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SEGMENTATION OF RETINAL BLOOD VESSELS USING FULLY CONVOLUTIONAL NETWORKS ON THE DRIVE DATASET

Form of presentation

Conference proceedings in Russian journals and collections

Year of publication

2025

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Authors, employees of KFU

Arabov Mullosharaf Kurbonovich, author

Bibliographic description in the original language

Amirouche A. Segmentation of retinal blood vessels using Fully Convolutional Networks on the DRIVE dataset / A. Amirouche, M.K. Arabov // Prikladnaya matematika i informatika: sovremennye issledovaniya v oblasti estestvennykh i tekhnicheskikh nauk. Sbornik materialov XI Mezhdunarodnoy nauchno-prakticheskoy konferencii (shkoly-seminara) molodykh uchenykh. – Tolyatti, 24–25 aprelya 2025 g. – S. 383-387.

Annotation

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Keywords

retinal blood vessel segmentation, Fully Convolutional Networks (FCNs), medical image segmentation, DRIVE dataset, diabetic retinopathy, glaucoma, hypertensive retinopathy, deep learning, image preprocessing, contrast normalization, data augmentation, ground truth mask, precision, sensitivity, ophthalmology, automated feature extraction, computer-aided diagnosis

The name of the journal

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Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=321359&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Arabov Mullosharaf Kurbonovich	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Amirouche A. Segmentation of retinal blood vessels using Fully Convolutional Networks on the DRIVE dataset / A. Amirouche, M.K. Arabov // �� : �� . �� XI �� -�� (��-��) �� . – ��, 24–25 �� 2025 �. – �. 383-387.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=321359&p_lang=2	ru_RU
dc.description.abstract	�� : ��	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	retinal blood vessel segmentation	ru_RU
dc.subject	Fully Convolutional Networks (FCNs)	ru_RU
dc.subject	medical image segmentation	ru_RU
dc.subject	DRIVE dataset	ru_RU
dc.subject	diabetic retinopathy	ru_RU
dc.subject	glaucoma	ru_RU
dc.subject	hypertensive retinopathy	ru_RU
dc.subject	deep learning	ru_RU
dc.subject	image preprocessing	ru_RU
dc.subject	contrast normalization	ru_RU
dc.subject	data augmentation	ru_RU
dc.subject	ground truth mask	ru_RU
dc.subject	precision	ru_RU
dc.subject	sensitivity	ru_RU
dc.subject	ophthalmology	ru_RU
dc.subject	automated feature extraction	ru_RU
dc.subject	computer-aided diagnosis	ru_RU
dc.title	Segmentation of retinal blood vessels using Fully Convolutional Networks on the drive dataset	ru_RU
dc.type	Conference proceedings in Russian journals and collections	ru_RU