Suggestions

Du même auteur

Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT

Archive ouverte | Rebaud, Louis | CCSD

International audience

Deep-learning-based 3D lesion segmentation on whole-body [18F]-FDG PET images including automated quality control: method and external validation

Archive ouverte | Girum, Kibrom | CCSD

International audience

Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities

Archive ouverte | Khalid, Fahad | CCSD

International audience. Purpose: Predicting H3.1, TP53, and ACVR1 mutations in DIPG could aid in the selection of therapeutic options. The contribution of clinical data and multi-modal MRI were studied for these thr...

Chargement des enrichissements...