Abstract: Provided is a method and system for analysing images of a retina captured by an Optical Coherence Tomography (OCT) scanner. In some examples, an image of a retina of a patient from an OCT scanner is received; boundaries between layers are segmented for each of the pixels; the layers are determined using the segmented boundaries; regions of pathology are segmented for each of the pixels; a location of the regions of pathology are determined with respect to the determined layers using the segmented regions; the regions of pathology are determined using the segmented regions and the determined location of the regions; a property of the regions of pathology are determined using the segmented regions; results of determinations of the regions of pathology and the property of the regions to derive an assessment are analysed; and the assessment are output.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

Abstract: The present invention relates to a method and system for analysing images of a retina captured by an Optical Coherence Tomography (OCT) scanner. The method includes: receiving an image of a retina of a patient from an OCT scanner; segmenting boundaries between layers of the retina for each of the pixels; determining the layers of the retina using the segmented boundaries; segmenting regions of pathology of the retina for each of the pixels; determining a location of the regions of pathology with respect to the determined layers of the retina using the segmented regions; determining the regions of pathology using the segmented regions and the determined location of the regions; determining a property of the regions of pathology of the retina using the segmented regions; analysing results of determinations of the regions of pathology and the property of the regions to derive an assessment of the retina of the patient; and outputting the assessment of the retina of the patient.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.