Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings

ArXi:2605.19207v1 Announce Type: cross Deep learning models have shown strong performance in medical image analysis, but deploying them in low-resource clinical environments remains difficult due to computational, memory, and power constraints. This paper presents a multi-strategy compression framework for brain tumor classification from MRI, encompassing quantization-aware