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Optic Disc Detection

2개 벤치마크 · 논문 6편 · 이 태스크의 논문 보기 →

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IDRiD

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REFUGE Challenge

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Papers

Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer

2024-05-01 · Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos

Differences in image quality, lighting conditions, and patient demographics pose challenges to automated glaucoma detection from color fundus photography. Brighteye, a method based on Vision Transformer, is proposed for …

Optic Disc DetectionPositionSpecificity

Explainable Artificial Intelligence in Retinal Imaging for the detection of Systemic Diseases

2022-12-14 · Ayushi Raj Bhatt, Rajkumar Vaghashiya, Meghna Kulkarni, Dr Prakash Kamaraj

Explainable Artificial Intelligence (AI) in the form of an interpretable and semiautomatic approach to stage grading ocular pathologies such as Diabetic retinopathy, Hypertensive retinopathy, and other retinopathies on t…

DescriptiveExplainable artificial intelligenceOptic Disc Detection

U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina

2021-07-09 · Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler

Fundus photography has routinely been used to document the presence and severity of retinal degenerative diseases such as age-related macular degeneration (AMD), glaucoma, and diabetic retinopathy (DR) in clinical practi…

Fovea DetectionOptic Disc DetectionOptic Disc SegmentationSegmentation

Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder

2020-11-20 · Ravi Kamble, Pranab Samanta, Nitin Singhal

The accurate detection of retinal structures like an optic disc (OD), cup, and fovea is crucial for the analysis of Age-related Macular Degeneration (AMD), Glaucoma, and other retinal conditions. Most segmentation method…

Fovea DetectionOptic Cup DetectionOptic Cup SegmentationOptic Disc Detection+2

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

2020-05-28 · Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel 외

With the advancement of powerful image processing and machine learning techniques, CAD has become ever more prevalent in all fields of medicine including ophthalmology. Since optic disc is the most important part of reti…

General ClassificationOptic Disc Detection

Deep Residual Network based Automatic Image Grading for Diabetic Macular Edema

2018-07-01 · Engineering in Medicine and Biology Society (EMBC), 2018 40th Annual International Conference of the IEEE 2018 7 · Santhosh Kumar Sukumar, Kamalakkannan Ravi, Supriti Mulay, Keerthi Ram 외

Diabetic Macular Edema (DME) is an advanced symptom of diabetic retinopathy that affects central vision of diabetes patients. An automated system for early detection of DME symptom has been proposed herein to elude visio…

Fovea Detectionimage-classificationImage ClassificationMedical Image Analysis+3