precision medicine

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

Over a decade in the making, the novel concept of radiomics has been silently brewing, promising to reshape the landscape of personalised and precision...

Hyun Soo Ko

3 days ago

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

The effect of preprocessing filters on predictive performance in radiomics

In radiomics, the main goal is to extract quantitative features from medical data to train a predictive model using machine learning techniques. Contrary to...

Aydin Demircioğlu

7 months ago

The effect of preprocessing filters on predictive performance in radiomics

Radiomic assessment of oesophageal adenocarcinoma

The use of radiomic models offers a possible way to improve oesophageal adenocarcinoma assessment through quantitative image analysis, but model selection...

Insights into Imaging

1 year ago

Radiomic assessment of oesophageal adenocarcinoma

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

This literature review summarizes the current status and evaluates the scientific reporting quality of radiomics research in the prediction of treatment...

European Radiology

3 years ago

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

Combining molecular and imaging metrics in cancer: radiogenomics

In oncology, we are in the era of personalized medicine that enables increasingly precise, often molecular-based approaches (genomics, transcriptomics,...

Katja Pinker

3 years ago

precision medicine

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

The effect of preprocessing filters on predictive performance in radiomics

Radiomic assessment of oesophageal adenocarcinoma

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

Combining molecular and imaging metrics in cancer: radiogenomics

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

Latest posts

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

The effect of preprocessing filters on predictive performance in radiomics

Radiomic assessment of oesophageal adenocarcinoma

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

Combining molecular and imaging metrics in cancer: radiogenomics

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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