Results 71 to 80 of about 1,990,403 (183)

Rapid Breast Density Analysis of Partial Volumes of Automated Breast Ultrasound Images

, 2014
Rapid volume density analysis (RVDA) for automated breast ultrasound (ABUS) has been proposed as a more efficient method for estimating breast density. In the current experiment, ABUS images were obtained for 67 breasts from 40 patients.
黃俊升, Moon, Woo Kyung;Lo, Chung-Ming;Chang, Jung Min;Bae, Min Sun;Kim, Won Hwa;Huang, Chiun-Sheng;Chen, Jeon-Hor;Kuo, Ming-Hong;Chang, Ruey-Feng   +1 more
core   +1 more source

Data_Sheet_1_Development of a breast cancer screening protocol to use automated breast ultrasound in a local setting.PDF

, 2023
IntroductionThe sensitivity of mammography screening is lower in women with dense breast. Increasing the efficacy of breast cancer screening have received special attention recently.
Judit Tittmann (14326056), György Széles (9612815), Zoltán Vokó (137299), Marcell Csanádi (6389504), Tamás Ágh (10931172), Árpád Kallai (14326059)   +5 more
core   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool, Giorgio Delzanno, Hamid Saadatfar, Aakash Ahmad, Rainer Koschke, Roohallah Alizadehsani, U. Rajendra Acharya, Daniele D'Agostino   +7 more
wiley   +1 more source

Additional file 2 of Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer

, 2022
Additional file 2: Table S1. Relationship between Ki-67 status and ABUS features.
Wang, Qiucheng, Li, Bo, Liu, Zhao, Shang, Haitao, Jing, Hui, Shao, Hua, Chen, Kexin, Liang, Xiaoshuan, Cheng, Wen   +8 more
openaire   +1 more source

Application of deep learning on automated breast ultrasound: Current developments, challenges, and opportunities

Meta-Radiology
Breast cancer is a major disease threatening the health of women worldwide. The advent of automated breast ultrasound (ABUS) has provided new possibilities for the early screening and diagnosis of breast cancer. Concurrently, artificial intelligence (AI)-
Ruixin Wang, Zhiyuan Wang, Yuanming Xiao, Xiaohui Liu, Guoping Tan, Jun Liu   +5 more
doaj   +1 more source

Cost-effective, portable, patient-dedicated three-dimensional automated breast ultrasound for point-of-care breast cancer screening

Scientific Reports, 2023
Breast cancer screening has substantially reduced mortality across screening populations. However, a clinical need persists for more accessible, cost-effective, and robust approaches for increased-risk and diverse patient populations, especially those ...
Claire Keun Sun Park, Tiana Trumpour, Amal Aziz, Jeffrey Scott Bax, David Tessier, Lori Gardi, Aaron Fenster   +6 more
doaj   +1 more source

Additional file 1 of Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer

, 2022
Additional file 1: Figure S1. (A) ABUS image of 48-year-old woman in stage II (MD = 2.1 cm) breast cancer with ALNM. The coronal plane shows proper nipple position (yellow point). ABUS detected a big hypoechoic lesion (arrows) on outer quadrant in left breast with irregular shape, angular margin, microcalcification, posterior features shadowing ...
Wang, Qiucheng, Li, Bo, Liu, Zhao, Shang, Haitao, Jing, Hui, Shao, Hua, Chen, Kexin, Liang, Xiaoshuan, Cheng, Wen   +8 more
openaire   +1 more source

Quantitative analysis of breast echotexture patterns in automated breast ultrasound images

, 2017
Purpose: Breast tissue composition is considered to be associated with breast cancer risk. This study aimed to develop a computer-aided classification (CAC) system to automatically classify echotexture patterns as heterogeneous or homogeneous using ...
Chang, Ruey-Feng;Hou, Yu-Ling;Lo, Chung-Ming;Huang, Chiun-Sheng;Chen, Jeon-Hor;Kim, Won Hwa;Chang, Jung Min;Bae, Min Sun;Moon, Woo Kyung, 黃俊升   +1 more
core   +1 more source

Additional file 1 of Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer

, 2023
Additional file 1: S1. The details of R software used in this study.
Chen, Yu, Xie, Yongwei, Li, Bo, Shao, Hua, Na, Ziyue, Wang, Qiucheng, Jing, Hui   +6 more
openaire   +1 more source

Comparative Study of Density Analysis Using Automated Whole Breast Ultrasound and Mri

, 2012
Purpose: The purpose of this study is to compare the measurements of breast density using three-dimensional 3-D automated whole breast ultrasound ABUS and magnetic resonance imaging MRI.
黃俊升;陳中和;張瑞峰, HUANG, CHIUN-SHENG;CHEN, JEON-HOR;CHANG, RUEY-FENG   +1 more
core