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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Volume 6, 2018 - Issue 4: V ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE)
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Original Articles

Automatic microaneurysm detection using laws texture masks and support vector machines

Diana VeigaEnermeter, Braga, Portugal;Centro Algoritmi, University of Minho, Guimarães, PortugalCorrespondence[email protected]
,
Nelson MartinsEnermeter, Braga, Portugal
,
Manuel FerreiraEnermeter, Braga, Portugal
&
João MonteiroCentro Algoritmi, University of Minho, Guimarães, Portugal
Pages 405-416 | Received 15 Mar 2016, Accepted 14 Feb 2017, Published online: 28 Mar 2017

Citations (12)

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Read on this site (3)

Mahua Nandy Pal, Ankit Sarkar, Anindya Gupta & Minakshi Banerjee. (2022) Deep CNN based microaneurysm-haemorrhage classification in retinal images considering local neighbourhoods. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 10:2, pages 157-171.
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Thaína A. Azevedo Tosta, Paulo R. de Faria, Leandro A. Neves & Marcelo Z. do Nascimento. (2021) Evaluation of statistical and Haralick texture features for lymphoma histological images classification. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 9:6, pages 613-624.
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Marwa Hani, Amine Ben Slama, Imen Zghal & Hedi Trabelsi. (2021) Appropriate identification of age-related macular degeneration using OCT images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 9:2, pages 146-156.
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Articles from other publishers (9)

Xugang Zhang, Ying Ma, Qingshan Gong & Junping Yao. (2023) Automatic detection of microaneurysms in fundus images based on multiple preprocessing fusion to extract features. Biomedical Signal Processing and Control 85, pages 104879.
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Shradha Dubey & Manish Dixit. (2022) Recent developments on computer aided systems for diagnosis of diabetic retinopathy: a review. Multimedia Tools and Applications 82:10, pages 14471-14525.
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Xinpeng Zhang, Meng Zhao, Yao Zhang, Ji Ao, Hongxia Yang, Congcong Wang & Shengyong Chen. (2023) T-Net: Hierarchical Pyramid Network for Microaneurysm Detection in Retinal Fundus Image. IEEE Transactions on Instrumentation and Measurement 72, pages 1-13.
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D. Mythily & K. Vidya. (2022) A Survey on Diabetic Retinopathy Diagnosis by Automated Detection of Microaneurysm. A Survey on Diabetic Retinopathy Diagnosis by Automated Detection of Microaneurysm.
R Murugan & Parthapratim Roy. (2022) MicroNet: microaneurysm detection in retinal fundus images using convolutional neural network. Soft Computing 26:3, pages 1057-1066.
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Linying Yang, Shiju Yan & Yuanzhi Xie. (2021) Detection of microaneurysms and hemorrhages based on improved Hessian matrix. International Journal of Computer Assisted Radiology and Surgery 16:6, pages 883-894.
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Shengchun Long, Jiali Chen, Ante Hu, Haipeng Liu, Zhiqing Chen & Dingchang Zheng. (2020) Microaneurysms detection in color fundus images using machine learning based on directional local contrast. BioMedical Engineering OnLine 19:1.
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Xinrong Cao, Hongkai Lin & Hongliang Kang. (2019) A Novel Method of Detecting Microangioma in Retinal Image Based on Visual Characteristics. A Novel Method of Detecting Microangioma in Retinal Image Based on Visual Characteristics.
Bashir Al-Diri, Francesco Calivá, Piotr Chudzik, Giovanni Ometto & Maged Habib. 2019. Computational Retinal Image Analysis. Computational Retinal Image Analysis 223 243 .

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