Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee Injury.
Sign Up to like & getrecommendations! Published in 2017 at "Academic radiology"
DOI: 10.1016/j.acra.2017.03.025
Abstract: RATIONALE AND OBJECTIVES This study aimed to evaluate the accuracy of an automated method for segmentation and T2 mapping of the medial meniscus (MM) and lateral meniscus (LM) in clinical magnetic resonance images from patients… read more here.
Keywords: resonance; patients acute; magnetic resonance; images patients ... See more keywords
P166 How well does deep learning differentiate between optoacoustic and optical nailfold capillaroscopy images from patients with systemic sclerosis versus those from healthy controls?
Sign Up to like & getrecommendations! Published in 2020 at "Rheumatology"
DOI: 10.1093/rheumatology/keaa111.161
Abstract: Nailfold capillaroscopy offers a non-invasive route to observation of systemic sclerosis (SSc)-related microvascular changes and is used routinely for inspection of the capillaries at the finger nailfold. The characteristic changes in capillary structure (increased capillary… read more here.
Keywords: capillaroscopy images; capillaroscopy; healthy controls; nailfold capillaroscopy ... See more keywords
Detection of epithelial growth factor receptor (EGFR) mutations on CT images of patients with lung adenocarcinoma using radiomics and/or multi-level residual convolutionary neural networks.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of thoracic disease"
DOI: 10.21037/jtd.2018.11.03
Abstract: Background We aim to analyze the ability to detect epithelial growth factor receptor (EGFR) mutations on chest CT images of patients with lung adenocarcinoma using radiomics and/or multi-level residual convolutionary neural networks (MCNNs). Methods We… read more here.
Keywords: lung adenocarcinoma; patients lung; mcnns clinical; egfr mutations ... See more keywords