Prospective Clinical Evaluation of Texture‐based Features Analysis of Ultrasound Ovarian Scans for Distinguishing Benign and Malignant Adnexal Tumors

Australasian Journal of Ultrasound in Medicine
doi 10.1002/ajum.12142
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

Diagnostic Accuracy of Inflammatory Markers for Distinguishing Malignant and Benign Ovarian Masses

Journal of Cancer
Oncology
2018English

Validity of Ultrasound in Detecting Benign and Malignant Ovarian Cysts

Annals of the College of Medicine, Mosul
2013English

Imaging in Gynecological Disease (11): Clinical and Ultrasound Features of Mucinous Ovarian Tumors

Ultrasound in Obstetrics and Gynecology
Nuclear MedicineRadiologyUltrasound TechnologyGynecologyReproductive MedicineRadiologicalImagingObstetricsMedicine
2017English

Bone Windows for Distinguishing Malignant From Benign Primary Bone Tumors on FDG PET/CT

Journal of Cancer
Oncology
2013English

Histological and Immunohistochemical Features of the Ovarian Malignant Epithelial Tumors and Granulosa Cell Tumors

Pathologia
2019English

Clinical and Ultrasound Features of Non-Gestational Ovarian Choriocarcinoma

Ultrasound in Obstetrics and Gynecology
Nuclear MedicineRadiologyUltrasound TechnologyGynecologyReproductive MedicineRadiologicalImagingObstetricsMedicine
2018English

Mutant Epidermal Growth Factor Receptor in Benign, Borderline, and Malignant Ovarian Tumors

Clinical Cancer Research
Cancer ResearchOncology
2008English

Contemporary Management of Benign and Malignant Parotid Tumors

Frontiers in Surgery
Surgery
2018English

Occurrence of Epidermal Growth Factor Receptors in Benign and Malignant Ovarian Tumors and Normal Ovarian Tissues: An Immunohistochemical Study

Journal of Cancer Research and Clinical Oncology
MedicineCancer ResearchOncology
1992English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy