A surgeon-guided independent component analysis from optical reflectance measurements is proposed for breast tumor delineation. Independent Component Analysis is first applied to extract the most relevant features from local measures of broadband reflectance and then a tumor probability indicator is obtained and provided utilizing surgeon assistance to resolve the inherent ambiguities in the independent component calculation. A set of 29 breast tissue samples have been diagnosed achieving a sensitivity of 90.57%, and specificity of 93.98%
Thesis (Ph.D.)--University of Rochester. Institute of Optics, 2012.Intrasurgical evaluation breast l...
Independent component analysis (ICA) is a statistical technique that estimates a set of sources mixe...
Background: Although the incidence of positive resection margins in breast-conserving surgery has de...
A spectral analysis technique to enhance tumor contrast during breast conserving surgery is proposed...
A spectral analysis technique to enhance tumor contrast during breast conserving surgery is proposed...
Breast tumors are blindly identified using Principal (PCA) and Independent Component Analysis (ICA) ...
A blind separation technique based on Independent Component Analysis (ICA) is proposed for breast tu...
Breast tumors are blindly identified using Principal (PCA) and Independent Component Analysis (ICA) ...
Breast tumors are blindly identified using Principal (PCA) and Independent Component Analysis (ICA) ...
Magnetic resonance mammography (MRM) has been used in clinical diagnosis over the last few decades, ...
This paper explores feature reduction properties of independent component analysis (ICA) on breast c...
Copyright © 2015 Ahmet Mert et al. This is an open access article distributed under the Creative Com...
The low spatial resolution of clinical H-1 MRSI leads to partial volume effects. To overcome this pr...
The magnetic properties of nuclei have significant applications in medical imaging. These applicatio...
Intrasurgical evaluation breast lumpectomy margin status is a challenging but critical job for patho...
Thesis (Ph.D.)--University of Rochester. Institute of Optics, 2012.Intrasurgical evaluation breast l...
Independent component analysis (ICA) is a statistical technique that estimates a set of sources mixe...
Background: Although the incidence of positive resection margins in breast-conserving surgery has de...
A spectral analysis technique to enhance tumor contrast during breast conserving surgery is proposed...
A spectral analysis technique to enhance tumor contrast during breast conserving surgery is proposed...
Breast tumors are blindly identified using Principal (PCA) and Independent Component Analysis (ICA) ...
A blind separation technique based on Independent Component Analysis (ICA) is proposed for breast tu...
Breast tumors are blindly identified using Principal (PCA) and Independent Component Analysis (ICA) ...
Breast tumors are blindly identified using Principal (PCA) and Independent Component Analysis (ICA) ...
Magnetic resonance mammography (MRM) has been used in clinical diagnosis over the last few decades, ...
This paper explores feature reduction properties of independent component analysis (ICA) on breast c...
Copyright © 2015 Ahmet Mert et al. This is an open access article distributed under the Creative Com...
The low spatial resolution of clinical H-1 MRSI leads to partial volume effects. To overcome this pr...
The magnetic properties of nuclei have significant applications in medical imaging. These applicatio...
Intrasurgical evaluation breast lumpectomy margin status is a challenging but critical job for patho...
Thesis (Ph.D.)--University of Rochester. Institute of Optics, 2012.Intrasurgical evaluation breast l...
Independent component analysis (ICA) is a statistical technique that estimates a set of sources mixe...
Background: Although the incidence of positive resection margins in breast-conserving surgery has de...