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Found 3 papers, 1 papers with code
End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma
As a non-invasive approach, cytopathology of urine sediment is a highly promising approach to diagnosing urothelial carcinoma.
SmoothLRP: Smoothing Explanations of Neural Network Decisions by Averaging over Stochastic Input Variations
With the excessive use of neural networks in safety critical domains the need for understandable explanations of their predictions is rising.
Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples
Infrared spectra obtained from cell or tissue specimen have commonly been observed to involve a significant degree of (resonant) Mie scattering, which often overshadows biochemically relevant spectral information by a non-linear, non-additive spectral component in Fourier transformed infrared (FTIR) spectroscopic measurements.
