Stc.unm

Skinfrared LLC

Sebastian Eugenio Godoy

Sanjay Krishna

Majeed M Hayat

Pradeep Sen

Maziar Yaesoubi

Sanchita Krishna

Ajit Vijay Barve

David A Ramirez

A technique for classifying lesions as malignant or benign is disclosed. The technique can include: cooling an area of skin including a lesion of a patient to initiate a warm-up process; receiving a temporal sequence of thermal images of the area of skin representing a thermal recovery of the area of skin, the temporal sequence of thermal images generated by an infrared camera; generating a temporal profile of the thermal recovery based on the temporal sequence of thermal images; analyzing temporal statistical properties of the temporal profile; determining a malignancy probability that the lesion is malignant based on an analysis of the temporal profile, wherein the determining includes extracting one or more statistical features based on continuous-time stochastic signals in the sequence of thermal images; and classifying the lesion based on the malignancy probability.

Methods and systems for detecting cancer

Apparatus and methods comprise examination of a subject using images of the subject. The images can provide a non-invasive analysis technique and can include a plurality of images of a portion of the subject at different times a temperature stimulus applied to the subject. An image of the portion of the subject can be aligned such that each pixel of the image corresponds to the same point on the subject over a sequence of images of the portion. The sequence of images can be processed after aligning the images such that data is extracted from the images. The extracted data can be used to make decisions regarding the health status of the subject. Additional apparatus, systems, and methods are disclosed.

Method and system for feature extraction and decision making from series of images

Apparatus, systems, and methods fusing material classification with spatio-spectral edge detection in spectral imagery can be used in a variety of applications. In various embodiments, a classifier can be applied to neighboring pixels in data for an image to determine, based on material changes, if the neighboring pixels are correlated to two different materials with respect to a candidate location for an edge. Results of the classification can be used with a spatio-spectral mask to accept or reject the candidate location as an edge. Additional apparatus, systems, and methods are disclosed.

Material classification fused with spatio-spectral edge detection in spectral imagery

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Albuquerque, NM, United States of America

Sebastian Eugenio Godoy