Related references
Note: Only part of the references are listed.Using rADioMIcs and machine learning with ultrasonography for the differential diagnosis of myometRiAL tumors (the ADMIRAL pilot study). Radiomics and differential diagnosis of myometrial tumors
V Chiappa et al.
GYNECOLOGIC ONCOLOGY (2021)
Cancer statistics for the year 2020: An overview
Jacques Ferlay et al.
INTERNATIONAL JOURNAL OF CANCER (2021)
The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)
Valentina Chiappa et al.
JOURNAL OF ULTRASOUND (2021)
Quantitative ultrasound of trapezius muscle involvement in myofascial pain: comparison of clinical and healthy population using texture analysis
Dinesh Kumbhare et al.
JOURNAL OF ULTRASOUND (2020)
Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling
Albert C. Yeh et al.
CANCER IMAGING (2019)
Adnexal mass risk assessment: a multivariate index assay for malignancy risk stratification
Zhen Zhang et al.
FUTURE ONCOLOGY (2019)
Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
J. Ferlay et al.
INTERNATIONAL JOURNAL OF CANCER (2019)
Ovarian cancer: An update on imaging in the era of radiomics
S. Nougaret et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2019)
Imaging and Screening of Ovarian Cancer
Kathryn P. Lowry et al.
RADIOLOGIC CLINICS OF NORTH AMERICA (2017)
External validation of ADNEX model for diagnosing ovarian cancer: evaluating performance of differentiation between tumor subgroups
B. Van Calster
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2017)
Extended mortality results for ovarian cancer screening in the PLCO trial with median 15 years follow-up
Paul F. Pinsky et al.
GYNECOLOGIC ONCOLOGY (2016)
True Reproducibility of UltraSound Techniques (TRUST): systematic review of reliability studies in obstetrics and gynecology
M. A. Coelho Neto et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2015)
Interobserver Agreement in Describing the Ultrasound Appearance of Adnexal Masses and in Calculating the Risk of Malignancy Using Logistic Regression Models
Povilas Sladkevicius et al.
CLINICAL CANCER RESEARCH (2015)
Staging classification for cancer of the ovary, fallopian tube, and peritoneum
Jaime Prat
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS (2014)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J. W. L. Aerts et al.
NATURE COMMUNICATIONS (2014)
Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study
Ben Van Calster et al.
BMJ-BRITISH MEDICAL JOURNAL (2014)
Risk of Malignancy in Sonographically Confirmed Ovarian Tumors
Rachel Ware Miller et al.
CLINICAL OBSTETRICS AND GYNECOLOGY (2012)
Centralisation of services for gynaecological cancers - A Cochrane systematic review
Yin Ling Woo et al.
GYNECOLOGIC ONCOLOGY (2012)
Evaluation of HE4, CA125, risk of ovarian malignancy algorithm (ROMA) and risk of malignancy index (RMI) as diagnostic tools of epithelial ovarian cancer in patients with a pelvic mass
Mona Aarenstrup Karlsen et al.
GYNECOLOGIC ONCOLOGY (2012)
A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study
Olivier Lucidarme et al.
EUROPEAN RADIOLOGY (2010)
Sensitivity and specificity of multimodal and ultrasound screening for ovarian cancer, and stage distribution of detected cancers: results of the prevalence screen of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS)
Usha Menon et al.
LANCET ONCOLOGY (2009)
Abnormal choline phospholipid metabolism in breast and ovary cancer: Molecular bases for noninvasive imaging approaches
Franca Podo et al.
CURRENT MEDICAL IMAGING (2007)
The use of mathematical models to evaluate pelvic masses; can they beat an expert operator?
D Timmerman
BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY (2004)
An automatic approach for morphological analysis and malignancy evaluation of ovarian masses using B-scans
Y Zimmer et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2003)
Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group
D Timmerman et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2000)
Share Paper
