Quantitative analysis of ultrasound images for computer-aided diagnosis-Reference-Cited by-同舟云学术

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Quantitative analysis of ultrasound images for computer-aided diagnosis

Published:2016-01-25 Issue:1 Volume:3 Page:014501
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:en
Short-container-title:J. Med. Imag

Author:

Wu Jie Ying¹,Tuomi Adam²,Beland Michael D.³,Konrad Joseph³,Glidden David²,Grand David³,Merck Derek³

Affiliation:

1. Brown University, School of Engineering, 82 Hope Street, Providence, Rhode Island 02912, United States

2. Brown University, Alpert Medical School, 222 Richmond Street, Providence, Rhode Island 02903, United States

3. Rhode Island Hospital, Department of Diagnostic Imaging, 593 Eddy Street, Providence, Rhode Island 02903, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Reference28 articles.

1. Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis

2. Prevalence of hepatic steatosis in an urban population in the United States: Impact of ethnicity

3. Fatty Liver: Imaging Patterns and Pitfalls

4. Automated Classification of Liver Disorders using Ultrasound Images

5. Computer-aided B-mode ultrasound diagnosis of hepatic steatosis: a feasibility study

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1. Accuracy of 3-D Surface Rendering of 2-D Ultrasound Images of the Uterus Using a Novel Software in Mapping Uterine Fibroids;Ultrasound in Medicine & Biology;2024-01

2. Self-Supervised Triplet Contrastive Learning for Classifying Endometrial Histopathological Images;IEEE Journal of Biomedical and Health Informatics;2023-12

3. Computer-aided Diagnosis of Various Diseases Using Ultrasonography Images;Current Medical Imaging Formerly Current Medical Imaging Reviews;2023-08-16

4. Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications;Frontiers in Endocrinology;2023-05-19

5. COVID-19 Detection from Lung Ultrasound Images using a Fuzzy Ensemble-based Transfer Learning Technique;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

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