Medical image processing methodology for detection and...

Surgery – Diagnostic testing – Detecting nuclear – electromagnetic – or ultrasonic radiation

Reexamination Certificate

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C382S225000, C382S128000, C382S171000, C382S133000

Reexamination Certificate

active

07899514

ABSTRACT:
A method and system for detecting and classifying anomalies in a medical image. During anomaly detection, once the intensity of an image pixel crosses a detection threshold, the pixel is detected and linking inputs are provided to its nearest-neighbor pixels. The linking inputs increase the intensities of the neighbor pixels, which may result in the detection of these nearest-neighbor pixels if their linked intensities are above the threshold. Each detected anomaly is classified by determining a genetic response surface methodology (GRSM) model for the detected anomaly, determining a cancerous GRSM model from a database of cancerous anomalies, and comparing the cancerous GRSM model to the GRSM model for the detected anomaly to classify the detected anomaly as cancerous or non-cancerous.

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