A Method for Diagnosing Diabetic Retinopathy Based on Ocular Fundus Imaging by N. T. Tuyen, T. T. Huu

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The State of Retinal Image Analysis: Deep Learning Advances and Applications by Toufique Ahmed Soomro, Faisal Bin Ubaid, Shehnila Zardari, Ahmed Ali Shah, Marwah M. Alansari, Shimaa A. Nagro

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Microaneurysm Counting as a Biomarker for the Hyperperfusion Stage of Nonproliferative Diabetic Retinopathy by Luís Mendes, Ana Rocha, Marta Lopes, Ana Almeida, Nicole Duarte, Débora Reste-Ferreira, António Martinho, Pedro Pereira, Inês Marques, Conceição Lobo, José Cunha-Vaz

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Dilated Neural Networks for Improving Microaneurysm Detection in Fundus Images by Norah Asiri, Abdel Monim Artoli, Muna Al-Razgan, Taha Alfakih

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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

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Efficient microaneurysm segmentation in retinal images via a lightweight Attention U-Net for early DR diagnosis by Muhammad Zeeshan Tahir, Xingzheng Lyu, Muhammad Nasir, Wengan He, Abeer Aljohani, Sanyuan Zhang

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Computational fluid dynamics analysis for predicting microaneurysm formation in parent arteries of unruptured cerebral aneurysms: implications for neck clipping safety by Kento Sasaki, Ichiro Nakahara, Kotaro Kihara, Shiho Tanaka, Riki Tanaka, Akiko Hasebe, Jun Tanabe, Kenichi Haraguchi, Yasuhiro Yamada, Fuminari Komatsu, Mai Okubo, Tomoka Katayama, Yoko Kato, Yuichi Hirose

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Early and long-term outcomes of endovascular treatment in patients with symptomatic and asymptomatic cerebral arteries microaneurysms by D.V. Shchehlov, O.Ye. Svyrydyuk, V.R. Pankiv, S.V. Konotopchyk, S.O. Kolomiichenko

Subjects: “…microaneurysm; endovascular occlusion; intracranial hemorrhage; mono-spiral technique; balloon-remodeling technique; stent-assisted technique.…”
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