Deep Learning in Pulmonology
Deep learning has been successfully applied in various applications in pulmonary imaging, including CT registration, airway mapping, real time catheter navigation, and pulmonary nodule detection. Some of these applications are still in ongoing development, and here we review few of the most recen...
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Retinal Detachment Detection
Retinal detachment occurs when part of the retina detaches itself from the pigmented cell layer of the RPE, depriving itself of blood and nutrition: this condition causes blur and loss of vision. There are 2 types of detachment: either it is caused by fluids, which might be of lacrimal origins, g...
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Optical Coherence Tomography Angiography
Optical coherence tomography angiography (OCTA) is a method which uses OCT to produce high-resolution volumetric images of the vascular tree in the eye. It has the advantage of being a non-invasive procedure. It is quick, and produces high resolution 3-dimensional histological images. With OCTA a...
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Stabilization in fluorescein angiography
One of the most common tests in ophthalmology is fluorescein angiography: fluorescein is injected in the blood and it moves immediately through the blood vessels to the back of the eye. Some drops might also be applied in order to make the pupil dilate. A video clip taken shortly after that, show...
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Automatic Catheter Orientation Measurement
Measuring Catheter Orientation in MRI Lipid-rich coronary lesions have a high risk of rupture. Early detection and quantification of these using interventional coronary catheterization for high-risk patients is necessary to increase the chances of successful treatment and prevention. Durin...
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Quantitative Coronary Analysis
Quantitative Coronary Analysis Quantitative Coronary Analysis (QCA) refers to the set of methods used to measure the diameter of arteries. The set of tools and algorithms for QCA have been developed for the purpose of lesion and stenosis detection and analysis, and promote rational clinical decis...
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Finding Cysts, Part Five: Final Detection
Cyst Detection Using Convolutional Neural Networks Graph-search We have been working on automatically detecting the appearance of Cystoid Macular Edema (CME) in Optical Coherence Tomography (OCT) images. CME is a buildup of fluids in the eye near the macula of the eye that can distort a person&#...
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Finding Cysts Part Three: Layer Segmentation
Finding Cysts: Retinal Layer Segmentation This is part three in our series of articles breaking down the automatic detection and quantification of Cystoid Macular Edema (CME). This is a buildup of fluids in the eye near the macula of the eye that can distort vision. We are pioneering a new...
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Automatic Detection of Macular Cysts
Hacking the Automatic Detection Process: Finding Eye Cysts with A.I. Introduction Cystoid Macular Edema (CME) is a buildup of fluids in the eye near the macula of the eye that can distort a person’s vision. Optical coherence tomography (OCT) is one of the main methods by which physic...
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