Manju Bala

Breast Cancer,Classification Of Breast Cancer,Deep Learning,Deep Network,Medical Imaging,Vanishing Gradient Problem,CNN Classifier,Computational Efficiency,Convolutional Neural Network,Feature Selection Algorithm,Histopathological Images,Hybrid Model,Image Classification,Learning Algorithms,Magnetic Resonance Imaging,Neural Network,Pathology Reports,Wireless Devices,Wireless Networks,Accuracy Of Dataset,Additive Noise,Affine Transformation,Analysis Of Different Types,Application Of Reinforcement Learning,Artificial Intelligence Techniques,Artificial Neural Network,Balanced Trade-off,Batch Normalization,Battery Power,Best Course Of Action,Bilateral Filter,Binary Classification,Binary Classification Performance,Breast Cancer Imaging,Breast Tissue,Breast Tumors,CNN Model,Causal Effect,Cerebral Infarction,Chest X-ray,Class Classification,Classification Accuracy,Classification Techniques,Clinical Decision Support Systems,Communication Protocol,Communication Technologies,Computed Tomography,Confusion Matrix,Continuous Improvement,Convolutional Network,