[HTML][HTML] Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
[HTML][HTML] A deep look into radiomics
C Scapicchio, M Gabelloni, A Barucci, D Cioni… - La radiologia …, 2021 - Springer
Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …
medical images. It is an evolving field of research with many potential applications in …
A guide to ComBat harmonization of imaging biomarkers in multicenter studies
The impact of PET image acquisition and reconstruction parameters on SUV measurements
or radiomic feature values is widely documented. This scanner effect is detrimental to the …
or radiomic feature values is widely documented. This scanner effect is detrimental to the …
[HTML][HTML] Deep learning with radiomics for disease diagnosis and treatment: challenges and potential
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …
[HTML][HTML] Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods
Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …
quantitative features used for clinical decision support. However, these radiomic features are …
[HTML][HTML] Artificial intelligence assists precision medicine in cancer treatment
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …
same drugs or surgical methods in patients with the same tumor may have different curative …
[HTML][HTML] Hybrid total-body pet scanners—current status and future perspectives
Purpose Since the 1990s, PET has been successfully combined with MR or CT systems. In
the past years, especially PET systems have seen a trend towards an enlarged axial field of …
the past years, especially PET systems have seen a trend towards an enlarged axial field of …
[HTML][HTML] Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Objective To investigate the impact of harmonization on the performance of CT, PET, and
fused PET/CT radiomic features toward the prediction of mutations status, for epidermal …
fused PET/CT radiomic features toward the prediction of mutations status, for epidermal …
[HTML][HTML] PET-derived radiomics and artificial intelligence in breast cancer: a systematic review
L Urso, L Manco, A Castello, L Evangelista… - International Journal of …, 2022 - mdpi.com
Breast cancer (BC) is a heterogeneous malignancy that still represents the second cause of
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …
[HTML][HTML] Radiomics in lung diseases imaging: state-of-the-art for clinicians
Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50
years. As modern medicine is evolving towards precision medicine, offering personalized …
years. As modern medicine is evolving towards precision medicine, offering personalized …