DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum

no code implementations • 1 Jul 2023 • Kishore Babu Nampalle, Pradeep Singh, Uppala Vivek Narayan, Balasubramanian Raman

In the rapidly evolving landscape of medical imaging diagnostics, achieving high accuracy while preserving computational efficiency remains a formidable challenge.

Computational Efficiency Federated Learning +1

Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification

no code implementations • 30 Jun 2023 • Kishore Babu Nampalle, Pradeep Singh, Uppala Vivek Narayan, Balasubramanian Raman

The proliferation of deep learning applications in healthcare calls for data aggregation across various institutions, a practice often associated with significant privacy concerns.

Federated Learning Image Classification +2

See Through the Fog: Curriculum Learning with Progressive Occlusion in Medical Imaging

no code implementations • 27 Jun 2023 • Pradeep Singh, Kishore Babu Nampalle, Uppala Vivek Narayan, Balasubramanian Raman

In this paper, we propose a novel curriculum learning-based approach to train deep learning models to handle occluded medical images effectively.