IMPROVING THE PERFORMANCE OF NEURAL NETWORK USING WAVELET TRANSFORMATION ON DYNAMIC MR IMAGING

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ABDOLMALEKI PARVIZ; ABRISHAMI MOGHADDAM HAMID; GITEE MASOMEH; MOSTAFA ABBAS

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2004 | Issue:11

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Title

IMPROVING THE PERFORMANCE OF NEURAL NETWORK USING WAVELET TRANSFORMATION ON DYNAMIC MR IMAGING

Author(s)

ABDOLMALEKI PARVIZ | ABRISHAMI MOGHADDAM HAMID | GITEE MASOMEH | MOSTAFA ABBAS

Keywords

WAVELET TRANSFORM

NEURAL NETWORK

AND ROC CURVE

Abstract

IN AN ATTEMPT TO DIFFERENTIATE MALIGNANT FROM BENIGN IN A GROUP OF PATIENTS WITH HISTOPATHOLOGICALLY PROVED BREAST LESIONS BASED ON THE DATA DERIVED INDEPENDENTLY FROM TIME-INTENSITY CURVE USING THE WAVELET TRANSFORM A NEURAL NETWORK ESTABLISHED. THE PERFORMANCE OF ANN WAS EVALUATED USING A DATABASE WITH 105 PATIENTS' RECORDS EACH OF WHICH CONSISTED OF 8 QUANTITATIVE PARAMETERS MOSTLY DERIVED FROM TIME-INTENSITY CURVE USING WAVELET TRANSFORM. THESE FINDINGS WERE ENCODED AS FEATURES FOR A THREE-LAYERED NEURAL NETWORK TO PREDICT THE OUTCOME OF BIOPSY. THE NETWORK WAS TRAINED AND TESTED USING THE JACKKNIFE METHOD AND ITS PERFORMANCE WAS THEN COMPARED TO THAT OF THE RADIOLOGISTS IN TERMS OF SENSITIVITY, SPECIFICITY AND ACCURACY USING RECEIVER OPERATING CHARACTERISTIC CURVE (ROC) ANALYSIS. THE NETWORK WAS ABLE TO CLASSIFY CORRECTLY OF 84 ORIGINAL CASES AND YIELDED A COMPARABLE DIAGNOSTIC ACCURACY (80%), COMPARED TO THAT OF THE RADIOLOGIST (85%) BY PERFORMING A CONSTRUCTIVE ASSOCIATION BETWEEN EXTRACTED QUANTITATIVE DATA AND CORRESPONDING PATHOLOGICAL RESULTS (R=0.63, P<0.001). AN ANN SUPPORTED BY WAVELET TRANSFORM CAN BE TRAINED TO DIFFERENTIATE MALIGNANT FROM BENIGN WITH A REASONABLE DEGREE OF ACCURACY.

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APA: Copy

ABDOLMALEKI, PARVIZ, ABRISHAMI MOGHADDAM, HAMID, GITEE, MASOMEH, & MOSTAFA, ABBAS. (2004). IMPROVING THE PERFORMANCE OF NEURAL NETWORK USING WAVELET TRANSFORMATION ON DYNAMIC MR IMAGING. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/906358/en

Vancouver: Copy

ABDOLMALEKI PARVIZ, ABRISHAMI MOGHADDAM HAMID, GITEE MASOMEH, MOSTAFA ABBAS. IMPROVING THE PERFORMANCE OF NEURAL NETWORK USING WAVELET TRANSFORMATION ON DYNAMIC MR IMAGING. 2004. Available from: https://sid.ir/paper/906358/en

IEEE: Copy

PARVIZ ABDOLMALEKI, HAMID ABRISHAMI MOGHADDAM, MASOMEH GITEE, and ABBAS MOSTAFA, “IMPROVING THE PERFORMANCE OF NEURAL NETWORK USING WAVELET TRANSFORMATION ON DYNAMIC MR IMAGING,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2004, [Online]. Available: https://sid.ir/paper/906358/en

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