Optimized Stochastic Resonance Signal Detection Method

Hao Chen (Inventor), Pramod Varshney (Inventor), Renbin Peng (Inventor)

Research output: Patent

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.
Original languageEnglish (US)
Patent number8,214,177
StatePublished - Jul 1 2010

Fingerprint

signal detection
detectors
calcification
lesions
dosage
augmentation

Cite this

Chen, H., Varshney, P., & Peng, R. (2010). Optimized Stochastic Resonance Signal Detection Method. (Patent No. 8,214,177).

Optimized Stochastic Resonance Signal Detection Method. / Chen, Hao (Inventor); Varshney, Pramod (Inventor); Peng, Renbin (Inventor).

Patent No.: 8,214,177.

Research output: Patent

Chen, H, Varshney, P & Peng, R 2010, Optimized Stochastic Resonance Signal Detection Method, Patent No. 8,214,177.
Chen H, Varshney P, Peng R, inventors. Optimized Stochastic Resonance Signal Detection Method. 8,214,177. 2010 Jul 1.
Chen, Hao (Inventor) ; Varshney, Pramod (Inventor) ; Peng, Renbin (Inventor). / Optimized Stochastic Resonance Signal Detection Method. Patent No.: 8,214,177.
@misc{a60cacf23dc7446881a549dcf4c73b40,
title = "Optimized Stochastic Resonance Signal Detection Method",
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.",
author = "Hao Chen and Pramod Varshney and Renbin Peng",
year = "2010",
month = "7",
day = "1",
language = "English (US)",
type = "Patent",
note = "8,214,177",

}

TY - PAT

T1 - Optimized Stochastic Resonance Signal Detection Method

AU - Chen, Hao

AU - Varshney, Pramod

AU - Peng, Renbin

PY - 2010/7/1

Y1 - 2010/7/1

N2 - 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.

AB - 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.

M3 - Patent

M1 - 8,214,177

ER -