Abstract: Methods and systems for three-dimensional (3D) reconstruction of endoscopic data in accordance with embodiments of the invention are described. In one embodiment, a method for processing a plurality of images captured by an endoscope includes preprocessing a plurality of images captured by an endoscope and including at least a portion of an organ. In many embodiments of the invention, the preprocessing includes estimating variations in light intensity within scenes captured by the plurality of images, and generating a set of color-adjusted images based on those variations. The method according to some embodiments of the invention may include generating a 3D point cloud representing points on a surface of the organ based on the set of color-adjusted images, defining a mesh representing the surface of the organ based on the 3D point cloud, and generating a texture of the surface of the organ based on the set of color-adjusted images.

Abstract: Systems and methods for performing image processing in accordance with embodiments of the invention are illustrated. One embodiment includes an imaging system including at least one processor, an input/output interface in communication with a medical imaging device, a display in communication with the processor, and a memory in communication with the processor, including image data obtained from a medical imaging device, where the image data describes at least one image describing at least one region of a patient's body, and an image processing application, where the image processing application directs the processor to preprocess the image data, identify pathological features within the preprocessed image data, calculate the likelihood that the at least one region described by the at least one image is afflicted by a disease, and provide a disease classification substantially instantaneously describing the disease and the likelihood of the disease being present in the region via the display.

Abstract: Methods and systems for three-dimensional (3D) reconstruction of endoscopic data in accordance with embodiments of the invention are described. In one embodiment, a method for processing a plurality of images captured by an endoscope includes preprocessing a plurality of images captured by an endoscope and including at least a portion of an organ. In many embodiments of the invention, the preprocessing includes estimating variations in light intensity within scenes captured by the plurality of images, and generating a set of color-adjusted images based on those variations. The method according to some embodiments of the invention may include generating a 3D point cloud representing points on a surface of the organ based on the set of color-adjusted images, defining a mesh representing the surface of the organ based on the 3D point cloud, and generating a texture of the surface of the organ based on the set of color-adjusted images.