Integrated Pathomics Framework Improves Breast Cancer Grading Accuracy
A study published in Diagnostic Pathology presents an integrated framework combining radiomic and deep learning-derived features to improve the accuracy ...
A study published in Diagnostic Pathology presents an integrated framework combining radiomic and deep learning-derived features to improve the accuracy ...
A multimodal machine learning nomogram combining clinical, radiomics, and pathomics features improved overall survival risk stratification in patients with IDH-wildtype ...
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
Pancreatic ductal adenocarcinoma remains one of medicine's most unforgiving diagnoses. Despite decades of progress in surgical technique and chemotherapy, the ...
A multi-task deep learning model that fuses pretreatment MRI and whole slide pathology images outperformed standard staging in predicting chemotherapy ...
A new review in the Journal of Translational Medicine maps how radiomics, pathomics and multi-omics integration can decode the tumor ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine