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- W2038772953 abstract "We propose here a reduced space image reconstruction method that makes use of basis function neural network (BFNN) within a framework of PDE-constrained algorithm. This method reduces the solution space using the basis function approach, and finds the optimal solution through the learning process of neural network. The basis function approach improves the ill-posed nature of an original inverse problem, reducing the number of unknowns as well as regularizing the solution automatically. The proposed method was applied to breast cancer imaging, and the reconstruction performance was evaluated on how well the method can identify the tumor location in breast tissue. The results show that the BFNN method gives better results in the identification of tumor location than the traditional element-based reconstruction method." @default.
- W2038772953 created "2016-06-24" @default.
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- W2038772953 date "2015-03-05" @default.
- W2038772953 modified "2023-10-18" @default.
- W2038772953 title "A reduced-space basis function neural network method for diffuse optical tomography" @default.
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- W2038772953 doi "https://doi.org/10.1117/12.2080550" @default.
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