subtype classification of breast cancer based on ST-data, using markov random fields and neural networks.

Stacked Deep Learning for Subtype Classification in Acute Myeloid Leukemia

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A two-stage deep learning pipeline using ResNet50 for automated brain tumor analysis from MRI. Stage 1 performs binary tumor detection, while Stage 2 classifies tumor subtype (glioma, meningioma, pituitary, normal). Includes Grad-CAM interpretability and a Streamlit-based diagnostic interface.