Results 151 to 160 of about 1,990,403 (183)
Artificial Intelligence Review, 2023 Breast cancer (BC) is the leading cause of death among women worldwide. Early detection and diagnosis of BC can help significantly reduce the mortality rate. Ultrasound (US) can be an ideal screening tool for BC detection. However, the hand-held US (HHUS)
Norafida Bahari +2 more
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images
IEEE Journal of Biomedical and Health Informatics, 2022Tumor segmentation in 3D automated breast ultrasound (ABUS) plays an important role in breast disease diagnosis and surgical planning. However, automatic segmentation of tumors in 3D ABUS images is still challenging, due to the large tumor shape and size variations, and uncertain tumor locations among patients.
Xuyang Cao, Dinggang Shen, Yanfeng Li
exaly +4 more sources
Computerized Medical Imaging and Graphics, 2021
People can get consistent Automated Breast Ultrasound (ABUS) images due to the imaging mechanism of scanning. Therefore, it has unique advantages in breast tumor classification using artificial intelligence technology. This paper proposes a method for classifying benign and malignant breast tumors using ABUS sequence based on deep learning.
Jinhong Wang, Wanli Ding, Wang Zhou
exaly +4 more sources
People can get consistent Automated Breast Ultrasound (ABUS) images due to the imaging mechanism of scanning. Therefore, it has unique advantages in breast tumor classification using artificial intelligence technology. This paper proposes a method for classifying benign and malignant breast tumors using ABUS sequence based on deep learning.
Jinhong Wang, Wanli Ding, Wang Zhou
exaly +4 more sources
Academic Radiology, 2018 Automated breast ultrasonography (ABUS) is a new imaging technology for automatic breast scanning through ultrasound. It was first developed to overcome the limitation of operator dependency and lack of standardization and reproducibility of handheld ...
Paolo Belli +2 more
exaly +2 more sources
Interpretation of Automated Breast Ultrasound (ABUS) With and Without Knowledge of Mammography: A Reader Performance Study [PDF]
Acta Radiologica, 2015 Background Automated breast ultrasonography (ABUS) has the potential to be an important adjunct to mammography in women with dense breasts. Purpose To compare reader performance and inter-observer variation of ABUS alone and in ...
Per Skaane +2 more
exaly +3 more sources
European Journal of Radiology, 2011
To retrospectively evaluate the detection performance of benign and malignant breast masses using 3D volume data obtained by ABUS and to determine lesion variables which affect detectability.Between November and December of 2007, bilateral whole breast US images were obtained using ABUS in 67 consecutive women who were scheduled to undergo US-guided ...
Jung Min Chang +2 more
exaly +3 more sources
To retrospectively evaluate the detection performance of benign and malignant breast masses using 3D volume data obtained by ABUS and to determine lesion variables which affect detectability.Between November and December of 2007, bilateral whole breast US images were obtained using ABUS in 67 consecutive women who were scheduled to undergo US-guided ...
Jung Min Chang +2 more
exaly +3 more sources
Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS)
SPIE Proceedings, 2014Recent studies have demonstrated that applying Automated Breast Ultrasound in addition to mammography in women with dense breasts can lead to additional detection of small, early stage breast cancers which are occult in corresponding mammograms. In this paper, we proposed a fully automatic method for detecting the nipple location in 3D ultrasound ...
Mandana Javanshir Moghaddam +3 more
openaire +1 more source
Acta Radiologica, 2015
Background Automated breast ultrasound (ABUS) is gaining popularity for breast cancer detection and diagnosis with its high reproducibility. Consistent recognition of breast lesions on serial exams is critical, and high reproducibility for lesion characterization is expected with ABUS, but not well reported.
Jung Min Chang +2 more
exaly +3 more sources
Background Automated breast ultrasound (ABUS) is gaining popularity for breast cancer detection and diagnosis with its high reproducibility. Consistent recognition of breast lesions on serial exams is critical, and high reproducibility for lesion characterization is expected with ABUS, but not well reported.
Jung Min Chang +2 more
exaly +3 more sources