Results 21 to 30 of about 1,990,403 (183)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge [PDF]

CoRR
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a newer approach for breast screening, which has many advantages over handheld mammography such as safety, speed, and higher detection rate of breast cancer.
Gongning Luo, Mingwang Xu, Hongyu Chen, Xinjie Liang, Xing Tao, Dong Ni 0001, Hyunsu Jeong, Chulhong Kim, Raphael Stock, Michael Baumgartner 0001, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Zhikai Yang, Tianyu Fan, Nicolas Boutry, Dmitry Tereshchenko, Arthur Moine, Maximilien Charmetant, Jan Sauer, Hao Du, Xiang-Hui Bai, Vipul Pai Raikar, Ricardo Montoya-del-Angel, Robert Marti, Miguel Luna, Dongmin Lee, Abdul Qayyum 0002, Moona Mazher, Qihui Guo, Changyan Wang, Navchetan Awasthi, Qiaochu Zhao, Wei Wang 0169, Kuanquan Wang, Qiucheng Wang, Suyu Dong   +36 more
core   +5 more sources

Does automated breast ultrasound (ABUS) add to breast tomosynthesis (DBT) in assessment of lesions in dense breasts? [PDF]

The Egyptian Journal of Radiology and Nuclear Medicine, 2021
Background As mammography has its known limitations in dense breast, additional imaging is usually needed. We aimed to evaluate the role of automated breast ultrasound in addition to tomosynthesis in detection and diagnosis of breast lesions in dense ...
Rania Mohamed Hegazy, Omnia Mokhtar Nada, Engy A. Ali   +2 more
doaj   +2 more sources

Characterization of breast masses: a comparative study between automated breast ultrasound (ABUS) and digital breast tomosynthesis (DBT) [PDF]

The Egyptian Journal of Radiology and Nuclear Medicine, 2020
Background Automated three-dimensional (3D) breast ultrasound (US) systems and breast tomosynthesis are promising breast imaging modalities. The study aims to compare the diagnostic indices of the 3D imaging techniques: digital breast tomosynthesis (DBT)
Lamiaa Mohamed Bassam Hashem, Reham Hussein Mohamed Ali, Maha Hussein Helal, Emad ELdin E. L. Gemeae, Amr Farouk Ibrahim Moustafa   +4 more
doaj   +2 more sources

Automated Breast Ultrasound (ABUS): A Pictorial Essay of Common Artifacts and Benign and Malignant Pathology. [PDF]

J Ultrason, 2022
Automated breast ultrasound is a three-dimensional ultrasonographic technique allowing the evaluation of women with dense glandular breast tissue. In this group of patients, mammography has a low sensitivity because dense breasts can obscure breast cancer on mammogram.
Jahed DA, Dekeyzer S, Vanwambeke K, Antic M, Vanhoenacker C, Vanhoenacker F.   +5 more
europepmc   +7 more sources

Breast cancer ultrasound image segmentation using improved 3DUnet++

WFUMB Ultrasound Open
Breast cancer is the most common cancer and the main cause of cancer-related deaths in women around the world. Early detection reduces the number of deaths.
Saba Hesaraki, Abdul Sajid Mohammed, Mehrshad Eisaei, Ramin Mousa   +3 more
doaj   +2 more sources

Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer. [PDF]

BMC Cancer, 2022
Abstract Background Automated breast ultrasound (ABUS) is a useful choice in breast disease diagnosis. The axillary lymph node (ALN) status is crucial for predicting the clinical classification and deciding on the treatment of early-stage breast cancer (EBC) and could be the primary indicator of locoregional recurrence ...
Wang Q, Li B, Liu Z, Shang H, Jing H, Shao H, Chen K, Liang X, Cheng W.   +8 more
europepmc   +4 more sources

Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer. [PDF]

BMC Cancer, 2023
Abstract Objectives Preoperative evaluation of axillary lymph node (ALN) status is an essential part of deciding the appropriate treatment. According to ACOSOG Z0011 trials, the new goal of the ALN status evaluation is tumor burden (low burden, < 3 positive ALNs; high burden, ≥ 3 positive ALNs), instead of metastasis ...
Chen Y, Xie Y, Li B, Shao H, Na Z, Wang Q, Jing H.   +6 more
europepmc   +4 more sources

Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network. [PDF]

Eur Radiol, 2022
Abstract Purpose The aim of this study was to develop and test a post-processing technique for detection and classification of lesions according to the BI-RADS atlas in automated breast ultrasound (ABUS) based on deep convolutional neural networks (dCNNs). Methods and materials
Hejduk P, Marcon M, Unkelbach J, Ciritsis A, Rossi C, Borkowski K, Boss A.   +6 more
europepmc   +4 more sources

Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules [PDF]

Scientific Reports
To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailored with low-rank adaptation (LoRA) strategies, in segmenting breast tumors in Automated Breast Ultrasound (ABUS) images. This retrospective study collected
Yi Zhou, Mingtao Ye, Haiyang Ye, Shuqi Zeng, Xi Shu, Ying Pan, Aifen Wu, Pengpeng Liu, Guodao Zhang, Shibin Cai, Shuzheng Chen   +10 more
doaj   +2 more sources

Digital breast tomosynthesis and automated breast ultrasound: added values in women with dense breasts

The Egyptian Journal of Radiology and Nuclear Medicine
Background Dense breast is one of the challenging cases in breast imaging; in both screening and diagnostic settings. Digital mammography (DM) is the first line modality for breast imaging.
Rabab Hassan Gouda, Maha Helal, Azza Mohamed Nasr, Ahmed Mohamed Farahat, S W Y Gareer, Hebatalla Hassan el kassas, Abeer Ali El-Sharawy   +6 more
doaj   +2 more sources