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Utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

Utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

The aim of this study was to provide an updated systematic review of radiomics in osteosarcoma, utilizing various databases such as PubMed, Embase, China...

Insights into Imaging
10 hours ago
Detecting dysthyroid optic neropathy using radiomics analysis of the optic nerve

Detecting dysthyroid optic neropathy using radiomics analysis of the optic nerve

Because the early detection of dysthyroid optic neuropathy (DON) is of the utmost importance for clinical decision-making, the authors of this study aimed to...

Insights into Imaging
1 week ago
Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm

Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm

This retrospective study evaluated deep learning algorithms for the detection of automatic rib fracture on thoracic CT scans. The authors also aimed to...

European Radiology
2 weeks ago
The effect of preprocessing filters on predictive performance in radiomics

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
3 weeks ago
EuSoMII Radiomics Auditing Group Initiative: Review of RQS applications

EuSoMII Radiomics Auditing Group Initiative: Review of RQS applications

When the Radiomics Quality Score (RQS) was presented to the scientific community back in 2017, its authors aimed to introduce a tool for a rapid and effective...

Arnaldo Stanzione
4 weeks 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.