Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

Model explainability for 🤗 Diffusers. Get explanations for your generated images.

Interpretable prediction AI model capable of discriminating genes in the localization of DIPG (Diffuse Intrinsic Pontine Glioma) tumors with the aim of developing targeted therapy.

Machine learning modeling of electrochemical cell discharge performance using design parameters like CRATE, porosity, conductivity, and diffusivity. Regression, PCA, LIME, and SHAP were applied for predictive modeling and interpretability.

Multi-center quantitative MRI (MUSE-DWI, 3D-pCASL, syMRI) with 2.5D DenseNet and stacked ensembles for preoperative IDH/1p19q classification and prognosis in adult diffuse gliomas, with interpretability and survival analysis.

Benchmark of CNN architectures (DenseNet121, MobileNetV2, ResNet50, VGG16) for MYC status prediction in Diffuse Large B-Cell Lymphoma from H&E whole-slide images. Includes preprocessing, stain normalization, patch extraction, standardized training, evaluation metrics, confidence intervals, and Grad-CAM interpretability.