Article
Comparative Evaluation of Deep CNN Architectures for Pattern Recognition in Mouse Brain Tissue Section Images
2026-08-25
Abstract excerpt
Accurate pattern recognition in biological tissue section images is critical for advancing biomedical research, particularly in diagnostics and neuroscience. However, variability in cellular morphology, imaging artifacts, and structural heterogeneity poses significant challenges for automated analysis. Conventional image-processing approaches often lack generalizability across datasets, highlighting the need for m...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- dea41df4-e196-570c-b7b0-72c8aae51be6
- DOI
- 10.20944/preprints202608.1738.v1
