Artificial intelligence in ultrasound

YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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AI-enhanced breast imaging: Where are we and where are we heading?

A Bitencourt, ID Naranjo, RL Gullo… - European journal of …, 2021 - Elsevier
Significant advances in imaging analysis and the development of high-throughput methods
that can extract and correlate multiple imaging parameters with different clinical outcomes …

[HTML][HTML] A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: added value for the …

HJ Park, SM Kim, B La Yun, M Jang, B Kim, JY Jang… - Medicine, 2019 - journals.lww.com
A computer-aided diagnosis system using artificial intellige... : Medicine A computer-aided
diagnosis system using artificial intelligence for the diagnosis and characterization of breast …

Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images

E Kaplan, WY Chan, S Dogan, PD Barua… - Medical Engineering & …, 2022 - Elsevier
Ultrasound (US) is an important imaging modality used to assess breast lesions for
malignant features. In the past decade, many machine learning models have been …

Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses

SY Kim, Y Choi, EK Kim, BK Han, JH Yoon, JS Choi… - Scientific reports, 2021 - nature.com
A major limitation of screening breast ultrasound (US) is a substantial number of false-
positive biopsy. This study aimed to develop a deep learning-based computer-aided …

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

JH Choi, BJ Kang, JE Baek, HS Lee, SH Kim - Ultrasonography, 2018 - ncbi.nlm.nih.gov
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 …

Deep learning in different ultrasound methods for breast cancer, from diagnosis to prognosis: current trends, challenges, and an analysis

H Afrin, NB Larson, M Fatemi, A Alizad - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is one of the leading causes of cancer death among women.
Ultrasound is a harmless imaging modality used to help make decisions about who should …

Application of Computer‐Aided Diagnosis on Breast Ultrasonography: Evaluation of Diagnostic Performances and Agreement of Radiologists According to Different …

E Cho, EK Kim, MK Song… - Journal of Ultrasound in …, 2018 - Wiley Online Library
Objectives To investigate the feasibility of a computer‐aided diagnosis (CAD) system (S‐
Detect; Samsung Medison, Co, Ltd, Seoul, Korea) for breast ultrasonography (US) …

A computer-aided diagnosing system in the evaluation of thyroid nodules—experience in a specialized thyroid center

S Xia, J Yao, W Zhou, Y Dong, S Xu, J Zhou… - World Journal of Surgical …, 2019 - Springer
Background The evaluation of thyroid nodules with ultrasonography has created a large
burden for radiologists. Artificial intelligence technology has been rapidly developed in …

Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool

M Di Segni, V de Soccio, V Cantisani, G Bonito… - Journal of …, 2018 - Springer
Purpose To assess the diagnostic performance and the potential as a teaching tool of S-
detect in the assessment of focal breast lesions. Methods 61 patients (age 21–84 years) with …