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Two stage-network: Automatic localization of Optic Disc (OD) and classification of glaucoma in fundus images using deep learning techniques
Glaucoma is an ophthalmic disorder which results in permanent vision loss because high intraocular pressure damages the optic nerve in the eye. This...
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Multiple graph reasoning network for joint optic disc and cup segmentation
Glaucoma is one of the most irreversible eye diseases that causes visual damage worldwide. For glaucoma screening, it is essential to accurately...
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Efficient Segmentation of Vessels and Disc Simultaneously Using Multi-channel Generative Adversarial Network
Two-dimensional pictorial representation of the rear part of human eye furnish diagnostic information about blood vessels, optic disc, and macula....
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A level set model with shape prior constraint for intervertebral disc MRI image segmentation
Accurate intervertebral disc image segmentation is necessary for further treatment. However, existing methods are difficult to segment due to the...
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Glaucoma Detection Using Clustering and Segmentation of the Optic Disc Region from Retinal Fundus Images
Segmentation is a process of dividing image into multiple parts. Each part is called a segment. The main objective of the segmenting image is to...
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Research on Visual Localization of Cutter Changing Robot in Unstructured Environments
Due to the non-closed-loop control of the cutter head and the uncertain environments of the excavation chamber, it is impossible to obtain the...
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Human retinal optic disc detection with grasshopper optimization algorithm
A growing number of qualified ophthalmologists are promoting the need to use computer-based retinal eye processing image recognition technologies....
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Optic disc detection based on fully convolutional neural network and structured matrix decomposition
Optic disc (OD) region provides a wealth of information for fundus images analysis. The accurate detection of OD contour is very important for the...
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Recent metaheuristic algorithms for medical object localization using MSER detector in computer-aided diagnosis system
Object localization is a critical task in image analysis, often facilitated by artificial intelligence techniques. While the Maximally Stable...
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Lightweight deep learning model for automatic landslide prediction and localization
There has been a lot of interest in utilizing remote sensing images to anticipate landslides. We propose a novel framework for automatic landslide...
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Fovea localization in retinal images using spatial color histograms
The automatic location of the fovea is very useful for diagnosing retinal diseases. It is a complex problem for which different solutions have been...
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ReviewLocator: Enhance User Review-Based Bug Localization with Bug Reports
Improving and updating applications based on user reviews is crucial to the continuous development of modern mobile applications. However, software...
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Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach
Accurate and automatic segmentation of intervertebral discs from medical images is a critical task for the assessment of spine-related diseases such...
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Automatic early glaucoma detection by extracting parapapillary atrophy and optic disc from fundus image using SVM
This paper presents early-automated glaucoma detection algorithm by extracting early diagnostic parameters, namely, parapapillary atrophy and Cup to...
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A Fusion Based Approach for Blood Vessel Segmentation from Fundus Images by Separating Brighter Optic Disc
Abstract—In ophthalmology, blood vessel segmentation from fundus images plays a significant role in automated retinal disease screening systems....
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Retinal Vessel Segmentation and Disc Detection from Color Fundus Images Using Inception Module and Residual Connection
Relating to diagnosis of ophthalmologic diseases, retinal fundus images provide valuable clinical information. Retinal blood vessel analysis gives...
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Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
Fovea localization is one of the most popular tasks in ophthalmic medical image analysis, where the coordinates of the center point of the macula...
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Urban tree generator: spatio-temporal and generative deep learning for urban tree localization and modeling
We present a vision-based algorithm that uses spatio-temporal satellite imagery, pattern recognition, procedural modeling, and deep learning to...
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Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
Labeling vertebral discs from MRI scans is important for the proper diagnosis of spinal related diseases, including multiple sclerosis, amyotrophic...
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Automated segmentation and quantitative analysis of optic disc and fovea in fundus images
Fundus image is widely used diagnosis method and involves the retinal tissues which can be important biomarkers for diagnosing diseases. Many studies...
