ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images
Ultrason Imaging. 2023 Nov 20:1617346231208709. doi: 10.1177/01617346231208709. Online ahead of print.ABSTRACTEfficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters. This paper presents a novel framework for automatic design of CNN architectures by combining strengths of E...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Mohammed Ahmed Hongbo Du Alaa AlZoubi Source Type: research
High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in ...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Yuanshan Wu Victor Barrere Aria Ashir Xiaojun Chen Livia T Silva Saeed Jerban Aiguo Han Michael P Andre Sameer B Shah Eric Y Chang Source Type: research
ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images
Ultrason Imaging. 2023 Nov 20:1617346231208709. doi: 10.1177/01617346231208709. Online ahead of print.ABSTRACTEfficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters. This paper presents a novel framework for automatic design of CNN architectures by combining strengths of E...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Mohammed Ahmed Hongbo Du Alaa AlZoubi Source Type: research
High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in ...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Yuanshan Wu Victor Barrere Aria Ashir Xiaojun Chen Livia T Silva Saeed Jerban Aiguo Han Michael P Andre Sameer B Shah Eric Y Chang Source Type: research
ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images
Ultrason Imaging. 2023 Nov 20:1617346231208709. doi: 10.1177/01617346231208709. Online ahead of print.ABSTRACTEfficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters. This paper presents a novel framework for automatic design of CNN architectures by combining strengths of E...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Mohammed Ahmed Hongbo Du Alaa AlZoubi Source Type: research
High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in ...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Yuanshan Wu Victor Barrere Aria Ashir Xiaojun Chen Livia T Silva Saeed Jerban Aiguo Han Michael P Andre Sameer B Shah Eric Y Chang Source Type: research
ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images
Ultrason Imaging. 2023 Nov 20:1617346231208709. doi: 10.1177/01617346231208709. Online ahead of print.ABSTRACTEfficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters. This paper presents a novel framework for automatic design of CNN architectures by combining strengths of E...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Mohammed Ahmed Hongbo Du Alaa AlZoubi Source Type: research
High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in ...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Yuanshan Wu Victor Barrere Aria Ashir Xiaojun Chen Livia T Silva Saeed Jerban Aiguo Han Michael P Andre Sameer B Shah Eric Y Chang Source Type: research
ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images
Ultrason Imaging. 2023 Nov 20:1617346231208709. doi: 10.1177/01617346231208709. Online ahead of print.ABSTRACTEfficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters. This paper presents a novel framework for automatic design of CNN architectures by combining strengths of E...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Mohammed Ahmed Hongbo Du Alaa AlZoubi Source Type: research
High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in ...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Yuanshan Wu Victor Barrere Aria Ashir Xiaojun Chen Livia T Silva Saeed Jerban Aiguo Han Michael P Andre Sameer B Shah Eric Y Chang Source Type: research
ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images
Ultrason Imaging. 2023 Nov 20:1617346231208709. doi: 10.1177/01617346231208709. Online ahead of print.ABSTRACTEfficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters. This paper presents a novel framework for automatic design of CNN architectures by combining strengths of E...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Mohammed Ahmed Hongbo Du Alaa AlZoubi Source Type: research
High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in ...
Source: Ultrasonic Imaging - November 20, 2023 Category: Radiology Authors: Yuanshan Wu Victor Barrere Aria Ashir Xiaojun Chen Livia T Silva Saeed Jerban Aiguo Han Michael P Andre Sameer B Shah Eric Y Chang Source Type: research
Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images
This study provides an automated annotation of thyroid nodule characteristics from 2D ultrasound images. The experimental results showed promising performance of our methods for thyroid nodule analysis. The automatic detection of correct characteristics not only offers supporting evidence for diagnosis, but also generates patient reports rapidly, thereby decreasing the workload of radiologists and enhancing productivity.PMID:37865842 | DOI:10.1177/01617346231200804 (Source: Ultrasonic Imaging)
Source: Ultrasonic Imaging - October 22, 2023 Category: Radiology Authors: Dongxu Han Nasir Ibrahim Feng Lu Yicheng Zhu Hongbo Du Alaa AlZoubi Source Type: research
