Invention Grant
- Patent Title: Optimized stochastic resonance signal detection method
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Application No.: US12710143Application Date: 2010-02-22
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Publication No.: US08131512B2Publication Date: 2012-03-06
- Inventor: Renbin Peng , Hao Chen , Pramod K. Varshney
- Applicant: Renbin Peng , Hao Chen , Pramod K. Varshney
- Applicant Address: US NY Syracuse
- Assignee: Syracuse University
- Current Assignee: Syracuse University
- Current Assignee Address: US NY Syracuse
- Agency: Bond Schoeneck & King, PLLC
- Agent George R. McGuire; Frederick J M Price
- Main IPC: H04B15/00
- IPC: H04B15/00 ; G06F19/00

Abstract:
Apparatus and method for detecting micro-calcifications in mammograms using novel algorithms and stochastic resonance noise is provided, where a suitable dose of noise is added to the abnormal mammograms such that the performance of a suboptimal lesion detector is improved without altering the detector's parameters. A stochastic resonance noise-based detection approach is presented to improve suboptimal detectors which suffer from model mismatch due to the Gaussian assumption. Furthermore, a stochastic resonance noise-based detection enhancement framework is presented to deal with more general model mismatch cases.
Public/Granted literature
- US08214177B2 Optimized stochastic resonance signal detection method Public/Granted day:2012-07-03
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