Cargando…

Application of computer-aided diagnosis in breast ultrasound interpretation: improvements in diagnostic performance according to reader experience

PURPOSE: The purpose of this study was to evaluate the usefulness of applying computer-aided diagnosis (CAD) to breast ultrasound (US), depending on the reader's experience with breast imaging. METHODS: Between October 2015 and January 2016, two experienced readers obtained and analyzed the gra...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, Ji-Hye, Kang, Bong Joo, Baek, Ji Eun, Lee, Hyun Sil, Kim, Sung Hun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Korean Society of Ultrasound in Medicine 2018
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044219/ https://www.ncbi.nlm.nih.gov/pubmed/28992680 http://dx.doi.org/10.14366/usg.17046

Ejemplares similares

Radiation dose affected by mammographic composition and breast size: first application of a radiation dose management system for full-field digital mammography in Korean women
por: Baek, Ji Eun, et al.
Publicado: (2017)

Evaluation of Computer-Aided Detection (CAD) in Screening Automated Breast Ultrasound Based on Characteristics of CAD Marks and False-Positive Marks
por: Lee, Jeongmin, et al.
Publicado: (2022)

Assessment of the Incremental Benefit of Computer-Aided Detection (CAD) for Interpretation of CT Colonography by Experienced and Inexperienced Readers
por: Boone, Darren, et al.
Publicado: (2015)

Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level
por: Lee, Si Eun, et al.
Publicado: (2022)

The interpreting studies reader /
Publicado: (2002)

Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency
por: Ahn, Jong Seok, et al.
Publicado: (2022)

Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis
por: Park, Ga Eun, et al.
Publicado: (2022)

Multi-Reader Multi-Case Study for Performance Evaluation of High-Risk Thyroid Ultrasound with Computer-Aided Detection
por: Wu, Ming-Hsun, et al.
Publicado: (2020)

Texture Analysis of Supraspinatus Ultrasound Image for Computer Aided Diagnostic System
por: Park, Byung Eun, et al.
Publicado: (2016)

Reader's Forum
por: Kim, In-Sil
Publicado: (2015)

Clinical performance of an automated reader in interpreting malaria rapid diagnostic tests in Tanzania
por: Shekalaghe, Seif, et al.
Publicado: (2013)

Computer-Aided Diagnosis System for the Evaluation of Thyroid Nodules on Ultrasonography: Prospective Non-Inferiority Study according to the Experience Level of Radiologists
por: Chung, Sae Rom, et al.
Publicado: (2020)

READER’S FORUM
por: Lim, Sung-Hun
Publicado: (2023)

Safety and tissue yield for percutaneous native kidney biopsy according to practitioner and ultrasound technique
por: Chung, Sungjin, et al.
Publicado: (2014)

READER’S FORUM
por: Jeong, Hyun-Joo
Publicado: (2020)

Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis
por: Lee, Si Eun, et al.
Publicado: (2017)

Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers’ performance and final diagnosis
por: Toda, Naoki, et al.
Publicado: (2022)

Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses
por: Kim, Soo -Yeon, et al.
Publicado: (2021)

Interobserver agreement on the interpretation of automated whole breast ultrasonography
por: Kim, Eun Jeong, et al.
Publicado: (2014)

Diagnostic performance of ultrasound with computer-aided diagnostic system in detecting breast cancer
por: Song, Pengjie, et al.
Publicado: (2023)

Variable size computer-aided detection prompts and mammography film reader decisions
por: Gilbert, Fiona J, et al.
Publicado: (2008)

Comparison of chemical pregnancy rates according to the anesthetic method during ultrasound-guided transvaginal oocyte retrieval for in vitro fertilization: a retrospective study
por: Heo, Hyun Joo, et al.
Publicado: (2020)

Added value of deep learning-based computer-aided diagnosis and shear wave elastography to b-mode ultrasound for evaluation of breast masses detected by screening ultrasound
por: Kim, Min Young, et al.
Publicado: (2021)

Quantifying fluorescent nanoparticle uptake in mammalian cells using a plate reader
por: Shin, Hye Ji, et al.
Publicado: (2022)

New readers and interpretations of poly(ADP-ribosyl)ation
por: Kalisch, Thomas, et al.
Publicado: (2012)

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey
por: Huang, Qinghua, et al.
Publicado: (2018)

An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs
por: Li, Haoyang, et al.
Publicado: (2021)

Reader's Forum
por: Kim, Ji-Young
Publicado: (2018)

READER’S FORUM
por: Lee, Ji-Min
Publicado: (2023)

MRI Inter-Reader and Intra-Reader Reliabilities for Assessing Injury Morphology and Posterior Ligamentous Complex Integrity of the Spine According to the Thoracolumbar Injury Classification System and Severity Score
por: Lee, Guen Young, et al.
Publicado: (2015)

Detailed Limitations of Study Help Readers to Interpret Result Effectively
por: Mondal, Himel, et al.
Publicado: (2017)

Differences in echocardiography interpretation techniques among trainees and expert readers
por: Anderson, David Roy, et al.
Publicado: (2021)

Assessing the diagnostic performance of thyroid biopsy with recommendations for appropriate interpretation
por: Ha, Su Min, et al.
Publicado: (2021)

Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age
por: Lee, Seung Hun, et al.
Publicado: (2021)

Diagnostic yields of endoscopic ultrasound-guided fine-needle tissue acquisition according to the gastric location
por: Kim, Dong Hyun, et al.
Publicado: (2021)

Validation of the fifth edition BI-RADS ultrasound lexicon with comparison of fourth and fifth edition diagnostic performance using video clips
por: Yoon, Jung Hyun, et al.
Publicado: (2016)

READER’S FORUM
por: Choi, Jin-Young, et al.
Publicado: (2022)

Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation
por: Gaur, Sonia, et al.
Publicado: (2018)

Comparison of visual and automated Deki Reader interpretation of malaria rapid diagnostic tests in rural Tanzanian military health facilities
por: Kalinga, Akili K., et al.
Publicado: (2018)

Radiologists' Performance for Detecting Lesions and the Interobserver Variability of Automated Whole Breast Ultrasound
por: Kim, Sung Hun, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_ocvn7dd8hr1iueao9k42cskndm