2 papers
cs.CV2026
Hierarchical Spatio-Channel Clustering for Efficient Model Compression in Medical Image Analysis
Sisipho Hamlomo, Marcellin Atemkeng, Habte Tadesse Likassa +5
Convolutional neural networks (CNNs) have become increasingly difficult to deploy in resource-constrained environments due to their large memory and computational requirements. Alt…
cs.LG2025
Clustering-Based Low-Rank Matrix Approximation for Medical Image Compression
Sisipho Hamlomo, Marcellin Atemkeng
Medical images are inherently high-resolution and contain locally varying structures crucial for diagnosis. Efficient compression must preserve diagnostic fidelity while minimizing…