3 papers
cs.CR2026
A Federated Learning Framework for Privacy-Preserving Oral Cancer Screening on Smartphones
Lena D. Swamikannan, Akshay Bhagwan Sonawane, Jay S. Patel +3
Data are the cornerstone of robust AI models. However, in the medical domain, access to reliable data is constrained by regulatory requirements and patient privacy, and clinical or…
quant-ph2026
Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection
Akshay Bhagwan Sonawane, Sophie Choe, Lakshman Tamil
Early detection of oral cancer markedly improves clinical outcomes, yet specialized diagnostic tools remain scarce in low-resource settings. Smartphone-based screening is a scalabl…
cs.CV2025
Robust Classification of Oral Cancer with Limited Training Data
Akshay Bhagwan Sonawane, Lena D. Swamikannan, Lakshman Tamil
Oral cancer ranks among the most prevalent cancers globally, with a particularly high mortality rate in regions lacking adequate healthcare access. Early diagnosis is crucial for r…