Open access
Jul 2026
EQS-net for feature-optimized cervical cancer diagnosis using multi-layer fusion & dimensionality reduction
EQS-NET is presented, a novel, lightweight, and feature-optimized Computer-Aided Diagnosis (CAD) framework that leverages a heterogeneous ensemble of compact CNNs — ShuffleNet, SqueezeNet, and EfficientNet — to extract complementary deep representations via transfer learning.
Bhawna Swarnkar, Nilay Khare, M. Gyanchandani et al.
· Discover Computing · 0 citations