Do Foundation Models Outperform Lightweight CNNs in Breast Cancer Histopathology Classification?
Arnav Dhiman · 2026 · International Journal For Multidisciplinary Research
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Accurate and computationally efficient classification of breast cancer histopathology images is critical for scalable clinical deployment of AI-assisted diagnostics. This paper benchmarks three deep learning architectures, MobileNetV3,…
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Metadata source: Crossref · DOI 10.36948/ijfmr.2026.v08i03.81631