Other

Susmija Jabbireddy

Siva Teja Kakileti

Himanshu Jayantkumar Madhu

Krithika Venkataramani

Hadonahalli V Ramprakash

What is disclosed is a system and method for breast cancer screening which determines whether hot spots, as seen in a thermal image of both breasts, can be classified as possibly malignant based on a measure of symmetry. A thermographic image of both breasts of a patient is received and analyzed to determine whether there exists, in each of a left breast and a right breast, a hot spot comprising a patch of pixels with an elevated temperature with respect to surrounding tissue. If a hot spot has been identified in each breast then a measure of symmetry comprising a ratio of an area of a smaller hot spot to an area of a larger hot spot is extracted from the thermographic image. The measure of symmetry is provided to a classifier system trained to classify an unclassified hot spot as malignant or non-malignant based on a measure of symmetry.

Thermography-based breast cancer screening using a measure of symmetry

What is disclosed is a system and method for contour-based determination of malignant tissue in a thermal image of a patient for cancer screening. In one embodiment, the method involves receiving a thermal image for cancer screening. Pixels in the thermal image with a higher temperature value are displayed in a first color and pixels with a lower temperature value are displayed in a second color. Pixels with temperature values between the lower and higher temperature values are displayed in gradations of color between the first and second colors. The thermal image is then analyzed to identify a patch of pixels with an elevated temperature relative to a temperature of pixels associated with surrounding tissue. Thereafter, tissue associated with the identified patch is determined to be malignant or non-malignant based a measure of irregularity calculated for boundary contour encompassing that patch of pixels.

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Hyderabad Telangana, India

Susmija Jabbireddy