26   Artículos

 
en línea
Hannah Mary T. Thomas, Helen Y. C. Wang, Amal Joseph Varghese, Ellen M. Donovan, Chris P. South, Helen Saxby, Andrew Nisbet, Vineet Prakash, Balu Krishna Sasidharan, Simon Pradeep Pavamani, Devakumar Devadhas, Manu Mathew, Rajesh Gunasingam Isiah and Philip M. Evans    
The application of this work is in radiomics for medical imaging analysis. It addresses the question of how to establish if radiomic features are stable and reproducible.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Giulio Vara, Paolo Spinnato, Giancarlo Facchini, Marco Miceli, Francesco Ursini, Luca Spinardi, Gianfranco Vornetti and Stefano Ratti    
Osteoporosis is a common condition characterized by low bone mineral density (BMD) and deterioration of bone microarchitecture, leading to increased risk of fractures. Early diagnosis and treatment of osteoporosis are critical for preventing fractures an... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ilaria Morelli, Carlotta Becherini, Marco Banini, Marianna Valzano, Niccolò Bertini, Mauro Loi, Giulio Francolini, Icro Meattini, Viola Salvestrini, Pierluigi Bonomo, Lorenzo Livi and Isacco Desideri    
This review reports the current evidence available regarding the role of radiomic features extracted from conventional imaging (MRI, CT and 18F-FDG PET scans) in assessing the status of Human Papillomavirus (HPV) in Oropharyngeal Squamous Cell Carcinoma ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Faisal Alshomrani, Basim S. O. Alsaedi, Cheng Wei, Magdalena Szewczyk-Bieda, Stephen Gandy, Jennifer Wilson, Zhihong Huang and Ghulam Nabi    
Over the last few years, a number of studies have quantified the role of radiomics, dynamic contrast enhancement and standard MRI (T2WI + DWI) in detecting prostate cancer; however, the aim of this paper was to assess the advantage of combining radiomics... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jie Xu, Xing He, Wei Shao, Jiang Bian and Russell Terry    
Up to 20% of renal masses =4 cm is found to be benign at the time of surgical excision, raising concern for overtreatment. However, the risk of malignancy is currently unable to be accurately predicted prior to surgery using imaging alone. The objective ... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Emilio Mezzenga, Anna Sarnelli, Giovanni Bellomo, Frank P. DiFilippo, Christopher J. Palestro and Kenneth J. Nichols    
(1) Background: Concentric ring artifacts in reconstructed SPECT images indicate the presence of detector non-uniformity in gamma camera systems. The identification of these artifacts is generally visual and not quantitative. The aim of our study was to ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Simona Marzi, Francesca Piludu, Ilaria Avanzolini, Valerio Muneroni, Giuseppe Sanguineti, Alessia Farneti, Pasqualina D?Urso, Maria Benevolo, Francesca Rollo, Renato Covello, Francesco Mazzola and Antonello Vidiri    
Imaging-based predictors of HPV status could be used to non-invasively detect HPV positivity in cases in which biopsy is not feasible because of a hardly accessible tumor location, or when the HPV test results are conflicting. Radiomics signatures for HP... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chenchen Ma, Shihong Yue and Chang Sun    
Preoperative, non-invasive, and accurate identification of the pathological subtypes of pulmonary ground glass nodules (GGNs) play an important role in the precise selection of clinical surgical operations and individualized treatment plans. Efforts have... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Laith R. Sultan, Theodore W. Cary, Maryam Al-Hasani, Mrigendra B. Karmacharya, Santosh S. Venkatesh, Charles-Antoine Assenmacher, Enrico Radaelli and Chandra M. Sehgal    
Machine learning for medical imaging not only requires sufficient amounts of data for training and testing but also that the data be independent. It is common to see highly interdependent data whenever there are inherent correlations between observations... ver más
Revista: AI    Formato: Electrónico

 
en línea
Roberta Fusco, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria Luisa Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti and Antonella Petrillo    
Purpose: The aim of the study was to estimate the diagnostic accuracy of textural, morphological and dynamic features, extracted by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images, by carrying out univariate and multivariate statist... ver más
Revista: Applied Sciences    Formato: Electrónico

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