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

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 decisions, creating an unfilled need for methods to explain the decisions, and ultimately forming a barrier to their wide accept...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Siegismund, Daniel, Wieser, Mario, Heyse, Stephan, Steigele, Stephan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Biomedical materials Classification Computer vision Decisions Imaging Machine learning Pixels
Online-Zugang:	Volltext
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