M. Thiyagarajan

RECNN-CGAN: A Resource-Efficient Deep Learning Framework for Multi-Class Mammogram Classification and Diagnosis.

OBJECTIVE A resource-efficient convolutional neural network with conditional generative adversarial networks (RECNN-CGAN) is proposed for mammogram classification and diagnosis (MCD) to achieve accurate and computationally efficient breast cancer diagnosis. METHODS The system employs Gaussian filtering for noise remo...