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ROSE: a retinal OCT-angiography vessel segmentation dataset and new model
Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique
that has been increasingly used to image the retinal vasculature at capillary level resolution …
that has been increasingly used to image the retinal vasculature at capillary level resolution …
Saliency-CCE: exploiting colour contextual extractor and saliency-based biomedical image segmentation
Biomedical image segmentation is one critical component in computer-aided system
diagnosis. However, various non-automatic segmentation methods are usually designed to …
diagnosis. However, various non-automatic segmentation methods are usually designed to …
[PDF][PDF] Classification of diabetic retinopathy images by using deep learning models
Diabetes or more precisely Diabetes Mellitus (DM) is a metabolic disorder happens because
of high blood sugar level in the body. Over the time, diabetes creates eye deficiency also …
of high blood sugar level in the body. Over the time, diabetes creates eye deficiency also …
[HTML][HTML] Computer vision based healthcare system for identification of diabetes & its types using AI
Diabetes mellitus, often known as diabetes, is an endocrine disorder that has a wide global
impact today. Here is a requirement for an effective model that able prognoses diabetes and …
impact today. Here is a requirement for an effective model that able prognoses diabetes and …
Explainable diabetic retinopathy detection and retinal image generation
Though deep learning has shown successful performance in classifying the label and
severity stage of certain diseases, most of them give few explanations on how to make …
severity stage of certain diseases, most of them give few explanations on how to make …
Artificial intelligence accelerates multi-modal biomedical process: A Survey
The abundance of artificial intelligence AI algorithms and growing computing power has
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
Unsupervised microstructure segmentation by mimicking metallurgists' approach to pattern recognition
An efficient deep learning method is presented for distinguishing microstructures of a low
carbon steel. There have been numerous endeavors to reproduce the human capability of …
carbon steel. There have been numerous endeavors to reproduce the human capability of …
Angle-closure detection in anterior segment OCT based on multilevel deep network
Irreversible visual impairment is often caused by primary angle-closure glaucoma, which
could be detected via anterior segment optical coherence tomography (AS-OCT). In this …
could be detected via anterior segment optical coherence tomography (AS-OCT). In this …
A novel adaptive deformable model for automated optic disc and cup segmentation to aid glaucoma diagnosis
This paper proposes a novel Adaptive Region-based Edge Smoothing Model (ARESM) for
automatic boundary detection of optic disc and cup to aid automatic glaucoma diagnosis …
automatic boundary detection of optic disc and cup to aid automatic glaucoma diagnosis …
Segmentation of melanoma skin lesion using perceptual color difference saliency with morphological analysis
OO Olugbara, TB Taiwo… - … Problems in Engineering, 2018 - Wiley Online Library
The prevalence of melanoma skin cancer disease is rapidly increasing as recorded death
cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is …
cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is …