D. J. David

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

A Tri-Fusion deep learning model for timely breast cancer screening, which integrates White Blood Cell morphological features, mammogram image embeddings, and gene mutation signatures within a unified multimodal framework, exhibits strong generalization under cross-validation and robustness to the missing-modality scen...

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