A radiomics-based multicenter approach with combination of intratumoral and peritumoral radiomics features and Clinical Data enables an enhanced, accurate preoperative ALN status prediction in TNBC patients
Comparison of deep learning network and hand-crafted radiomics models for the preoperative identification of potentially parathyroid tumors in ultrasound a retrospective study
Non-invasive Prediction of Bone Marrow in Lymphoma Patients Using Clinical, Radiomics, and Deep Learning Features From 18F-FDG PET/CT Based on Interpretable Machine Learning
Right ventricular strain combined with an interpretable machine learning model predicts Takotsubo syndrome: a CMR study results from the first Chinese TTS registry