Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases
Purpose To assess the efficacy of radiomics features obtained by T2-weighted sequences to
predict clinical outcomes following liver resection in colorectal liver metastases patients …
predict clinical outcomes following liver resection in colorectal liver metastases patients …
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …
Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma
MC Brunese, MR Fantozzi, R Fusco, F De Muzio… - Diagnostics, 2023 - mdpi.com
Background: This paper offers an assessment of radiomics tools in the evaluation of
intrahepatic cholangiocarcinoma. Methods: The PubMed database was searched for papers …
intrahepatic cholangiocarcinoma. Methods: The PubMed database was searched for papers …
Potential Application of Hydrops MR Imaging: A Systematic Review
YH Young, KT Lin - Journal of Otolaryngology-Head & Neck …, 2024 - journals.sagepub.com
Background Diagnostic dilemma between clinical Meniere's disease and radiological
endolymphatic hydrops (EH) has emerged since the introduction of hydrops magnetic …
endolymphatic hydrops (EH) has emerged since the introduction of hydrops magnetic …
Contrast MR-based radiomics and machine learning analysis to assess clinical outcomes following liver resection in colorectal liver metastases: a preliminary study
Simple Summary The objective of the study was to evaluate the radiomics features obtained
by contrast MRI studies as prognostic biomarkers in colorectal liver metastases patients to …
by contrast MRI studies as prognostic biomarkers in colorectal liver metastases patients to …
EOB-MR based radiomics analysis to assess clinical outcomes following liver resection in colorectal liver metastases
Simple Summary The aim of this study was to assess the efficacy of radiomics features
obtained by EOB-MRI phase in order to predict clinical outcomes following liver resection in …
obtained by EOB-MRI phase in order to predict clinical outcomes following liver resection in …
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of colorectal liver metastases growth pattern
To assess Radiomics and Machine Learning Analysis in Liver Colon and Rectal Cancer
Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 …
Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 …
Machine learning approaches with textural features to calculate breast density on mammography
Background: breast cancer (BC) is the world's most prevalent cancer in the female
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …
Machine learning at the edge for AI-enabled multiplexed pathogen detection
Multiplexed detection of biomarkers in real-time is crucial for sensitive and accurate
diagnosis at the point of use. This scenario poses tremendous challenges for detection and …
diagnosis at the point of use. This scenario poses tremendous challenges for detection and …
Mass Spectrometric Interrogation of Earwax: Toward the Detection of Ménière's Disease
AM Coon, G Setzen, RA Musah - ACS omega, 2023 - ACS Publications
Many diseases remain difficult to identify because the occurrence of characteristic
biomarkers within traditional matrices such as blood and urine remain unknown. Disease …
biomarkers within traditional matrices such as blood and urine remain unknown. Disease …