D. J. David

Tri-fusion deep learning model for early breast cancer screening using multimodal biomedical data

To optimize the early detection of breast cancer, a strong integration of heterogeneous biomedical signals is essential to improve diagnostic reliability and reduce false negatives. This study proposes a Tri-Fusion deep learning model for timely breast cancer screening, which integrates White Blood Cell (WBC) morpholog...

Wavelet Packet-Based Feature Extraction with Multivariate Kernel Sparse Extreme Learning Machine and DenseNet-264 for Diabetic Retinopathy Prediction