Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging3 months ago
Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning4 months ago
Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer5 months ago
6 months ago
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound7 months ago
Dual-energy CT–based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer7 months ago
Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification9 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.
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- Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study
- CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma
- Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography
- Protected: Video/Symposium: What effort does AI have for the future of lung disease and COVID-19?
- MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma