most citedLearning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing

3 citations

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cs.CV2024★ 2 cited

PCIM: Learning Pixel Attributions via Pixel-wise Channel Isolation Mixing in High Content Imaging

Daniel Siegismund, Mario Wieser, Stephan Heyse +1

Deep Neural Networks (DNNs) have shown remarkable success in various computer vision tasks. However, their black-box nature often leads to difficulty in interpreting their decision…

cs.CV2023★ 3 cited

Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing

Daniel Siegismund, Mario Wieser, Stephan Heyse +1

Uncovering novel drug candidates for treating complex diseases remain one of the most challenging tasks in early discovery research. To tackle this challenge, biopharma research es…