Abstract: A biological tissue is classified using a computing system. Image data comprising a plurality of images of an examination area of a biological tissue is received at the computing system. Each of the plurality of images is captured at different times during a period in which topical application of a pathology differentiating agent to the examination area of the tissue causes transient optical effects. The received image data is provided as an input to a machine learning algorithm operative on the computing system. The machine learning algorithm is configured to allocate one of a plurality of classifications to each of a plurality of segments of the tissue.

Abstract: A biological tissue is classified using a computing system. Image data comprising a plurality of images of an examination area of a biological tissue is received at the computing system. Each of the plurality of images is captured at different times during a period in which topical application of a pathology differentiating agent to the examination area of the tissue causes transient optical effects. The received image data is provided as an input to a machine learning algorithm operative on the computing system. The machine learning algorithm is configured to allocate one of a plurality of classifications to each of a plurality of segments of the tissue.

Abstract: A biological tissue is classified using a computing system. Image data comprising a plurality of images of an examination area of a biological tissue is received at the computing system. Each of the plurality of images is captured at different times during a period in which topical application of a pathology differentiating agent to the examination area of the tissue causes transient optical effects. The received image data is provided as an input to a machine learning algorithm operative on the computing system. The machine learning algorithm is configured to allocate one of a plurality of classifications to each of a plurality of segments of the tissue.

Abstract: A method and apparatus of producing a three-dimensional image of at least a part of the retina of an eye is provided. The method including obtaining a two-dimensional wide-field image of said part of said retina, determining a three-dimensional shape for said part of said retina and using the three-dimensional shape for said part of said retina to modify said two-dimensional image to produce a three-dimensional image of said part of said retina. The apparatus including an imaging system adapted to provide a two-dimensional wide-field image of said part of said retina, a three-dimensional shape determination module adapted to determine a three-dimensional shape for said part of said retina, and a two-dimensional image modification module adapted to modify said two-dimensional wide-field image of said part of said retina using said three-dimensional shape to produce a three-dimensional image of said part of said retina.

Abstract: A method and apparatus of producing a three-dimensional image of at least a part of the retina of an eye is provided. The method including obtaining a two-dimensional wide-field image of said part of said retina, determining a three-dimensional shape for said part of said retina and using the three-dimensional shape for said part of said retina to modify said two-dimensional image to produce a three-dimensional image of said part of said retina. The apparatus including an imaging system adapted to provide a two-dimensional wide-field image of said part of said retina, a three-dimensional shape determination module adapted to determine a three-dimensional shape for said part of said retina, and a two-dimensional image modification module adapted to modify said two-dimensional wide-field image of said part of said retina using said three-dimensional shape to produce a three-dimensional image of said part of said retina.