Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5747
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dc.contributor.authorGorey, Abhijeeten_US
dc.contributor.authorVasudevan, Srivathsanen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:43:39Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:43:39Z-
dc.date.issued2019-
dc.identifier.citationBiswas, D., Gorey, A., Chen, G. C. K., Vasudevan, S., Sharma, N., Bhagat, P., & Phatak, S. (2019). Empirical wavelet transform based photoacoustic spectral response technique for assessment of ex-vivo breast biopsy tissues. Biomedical Signal Processing and Control, 51, 355-363. doi:10.1016/j.bspc.2019.02.019en_US
dc.identifier.issn1746-8094-
dc.identifier.otherEID(2-s2.0-85062997142)-
dc.identifier.urihttps://doi.org/10.1016/j.bspc.2019.02.019-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5747-
dc.description.abstractEmpirical wavelet transform (EWT) based Photoacoustic spectral response technique is proposed for quantitative assessment of human breast masses (e.g. normal, benign and malignant) based on tissue mechano-biological property. EWT derived parameters such as spectral magnitude and total energy of mono frequency components were utilised for quantitative analysis. Spectral magnitude of second frequency component clearly proves proliferation of epithelial cells in malignant tissues compared to normal. In addition, fibroadenoma illustrates identical energy values of both mono-components which indicates identical proliferation of epithelial and stromal cells. Subsequently, EWT features are proposed that can differentiate the breast masses with 97.5% efficiency, a significant improvement in non-invasive breast cancer diagnosis which also highly correlates with standard histopathology. © 2019 Elsevier Ltden_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.sourceBiomedical Signal Processing and Controlen_US
dc.subjectBiopsyen_US
dc.subjectDiseasesen_US
dc.subjectHistologyen_US
dc.subjectTissueen_US
dc.subjectBiological propertiesen_US
dc.subjectBreast Canceren_US
dc.subjectBreast cancer diagnosisen_US
dc.subjectFrequency componentsen_US
dc.subjectMechano-biologyen_US
dc.subjectQuantitative assessmentsen_US
dc.subjectSpectral magnitudesen_US
dc.subjectSpectral responseen_US
dc.subjectWavelet transformsen_US
dc.subjectArticleen_US
dc.subjectbreast biopsyen_US
dc.subjectbreast fibroadenomaen_US
dc.subjectbreast tissueen_US
dc.subjectbreast tumoren_US
dc.subjectcell proliferationen_US
dc.subjectcontrolled studyen_US
dc.subjectepithelium cellen_US
dc.subjectex vivo studyen_US
dc.subjecthistopathologyen_US
dc.subjecthumanen_US
dc.subjecthuman tissueen_US
dc.subjectphotoacoustic spectroscopyen_US
dc.subjectpriority journalen_US
dc.subjectquantitative analysisen_US
dc.subjectstroma cellen_US
dc.subjectwavelet transformationen_US
dc.titleEmpirical wavelet transform based photoacoustic spectral response technique for assessment of ex-vivo breast biopsy tissuesen_US
dc.typeJournal Articleen_US
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