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A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: Focus on the three most common cancers
The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …
disease diagnosis and management and facilitate the creation of new therapeutics is …
Liver metastases: The role of magnetic resonance imaging
C Maino, F Vernuccio, R Cannella… - World Journal of …, 2023 - pmc.ncbi.nlm.nih.gov
The liver is one of the organs most commonly involved in metastatic disease, especially due
to its unique vascularization. It's well known that liver metastases represent the most …
to its unique vascularization. It's well known that liver metastases represent the most …
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 …
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
Recent advances in ultrasound breast imaging: from industry to clinical practice
O Catalano, R Fusco, F De Muzio, I Simonetti… - Diagnostics, 2023 - mdpi.com
Breast ultrasound (US) has undergone dramatic technological improvement through recent
decades, moving from a low spatial resolution, grayscale-limited technique to a highly …
decades, moving from a low spatial resolution, grayscale-limited technique to a highly …
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 …
Risk assessment and pancreatic cancer: Diagnostic management and artificial intelligence
Simple Summary Pancreatic cancer (PC) is one of the deadliest cancers. Its high mortality
rate is correlated with several explanations; the main one is the late disease stage at which …
rate is correlated with several explanations; the main one is the late disease stage at which …
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 …
An informative review of radiomics studies on cancer imaging: the main findings, challenges and limitations of the methodologies
The aim of this informative review was to investigate the application of radiomics in cancer
imaging and to summarize the results of recent studies to support oncological imaging with …
imaging and to summarize the results of recent studies to support oncological imaging with …
Combined hepatocellular-cholangiocarcinoma: What the multidisciplinary team should know
C Cutolo, F Dell'Aversana, R Fusco, G Grazzini, G Chiti… - Diagnostics, 2022 - mdpi.com
Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a rare type of primary liver
malignancy. Among the risk factors, hepatitis B and hepatitis C virus infections, cirrhosis, and …
malignancy. Among the risk factors, hepatitis B and hepatitis C virus infections, cirrhosis, and …