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Radiomics in medical imaging: pitfalls and challenges in clinical management
Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
[HTML][HTML] Lymph nodes evaluation in rectal cancer: where do we stand and future perspective
A Borgheresi, F De Muzio, A Agostini… - Journal of Clinical …, 2022 - mdpi.com
The assessment of nodal involvement in patients with rectal cancer (RC) is fundamental in
disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and …
disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and …
Use of magnetic resonance imaging in rectal cancer patients: Society of Abdominal Radiology (SAR) rectal cancer disease-focused panel (DFP) recommendations …
MJ Gollub, S Arya, RGH Beets-Tan, G Deprisco… - Abdominal …, 2018 - Springer
Purpose To propose guidelines based on an expert-panel-derived unified approach to the
technical performance, interpretation, and reporting of MRI for baseline and post-treatment …
technical performance, interpretation, and reporting of MRI for baseline and post-treatment …
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 …
Validation of the standardized index of shape tool to analyze DCE-MRI data in the assessment of neo-adjuvant therapy in locally advanced rectal cancer
Purpose Standardized index of shape (SIS) tool validation to examine dynamic contrast
enhanced–magnetic resonance imaging (DCE-MRI) in preoperative chemo-radiation …
enhanced–magnetic resonance imaging (DCE-MRI) in preoperative chemo-radiation …
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 …
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer …
Objective The objective of the study was to evaluate the accuracy of radiomics features
obtained by MR images to predict Breast Cancer Histological Outcome. Methods A total of …
obtained by MR images to predict Breast Cancer Histological Outcome. Methods A total of …
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 …
Management of cutaneous melanoma: Radiologists challenging and risk assessment
Melanoma patient remains a challenging for the radiologist, due to the difficulty related to the
management of a patient more often in an advanced stage of the disease. It is necessary to …
management of a patient more often in an advanced stage of the disease. It is necessary to …