Mela Sciences, Inc.

Electro-optical Sciences, Inc.

Nikolai Kabelev

Dina Gutkowicz-Krusin

Adam Jacobs

Marek Elbaum

Maciej Wojton

Sunguk Keem

Among other things, a degree is determined to which values of a feature that characterizes cases correctly predict classes to which cases belong, the degree depending on a combination of at least two factors that include: (a) uncertainty about the values that the feature will have depending on knowledge about classes to which cases belong, and (b) comparison of one or more first values of the feature that are associated with cases that belong to a first class with one or more second values of the feature associated with cases belonging to a second class.

Assessing features for classification

A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitude of the noise for at least some pixels of the target digital image.

Reducing noise in digital images

Data corresponding to biological tissue or lesions imaged in a remote location are communicated automatically to a central location, where the data are analyzed using data and algorithms stored securely at the central location. A result of the analysis is communicated from the central location to the remote location. Payment to an entity associated with the central location is made for each image or set of images.

Growing community of inventors

Irvington, NY, United States of America

Nikolai Kabelev