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Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs1 month ago
Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer3 months ago
Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer3 months ago
Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images5 months ago
MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma5 months ago
Why radiomics research does not translate to clinical practice: evaluation of literature using RQS and TRIPOD8 months ago
Welcome to the blog on Artificial Intelligence of the European Society of Radiology
This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.
Most used hashtags
- AI in radiology: What patients really want – the best possible diagnosis with the highest possible precision
- Can radiomics improve the prediction of metastatic relapse of myxoid/round cell liposarcomas?