Abstract: Highlights•Orthogonal feature learning for multi-wavelength diffuse optical tomography.•Maximize wavelength contributions for balanced penetration and noise robustness.•Improve diffuse optical tomography reconstruction and diagnosis accuracy.•Direct prediction from raw data enhances accuracy while lowering computational footprint.•Potential for discriminative breast cancer lesion screening with a portable DOT device.
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