Automated localization and segmentation techniques for B-mode ultrasound images: A review
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
[HTML][HTML] Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection
Breast cancer is the most prevalent cancer that affects women all over the world. Early
detection and treatment of breast cancer could decline the mortality rate. Some issues such …
detection and treatment of breast cancer could decline the mortality rate. Some issues such …
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN
Purpose Automatic breast ultrasound (ABUS) imaging has become an essential tool in
breast cancer diagnosis since it provides complementary information to other imaging …
breast cancer diagnosis since it provides complementary information to other imaging …
Deeply-supervised networks with threshold loss for cancer detection in automated breast ultrasound
ABUS, or Automated breast ultrasound, is an innovative and promising method of screening
for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains …
for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains …
Tumor detection in automated breast ultrasound using 3-D CNN and prioritized candidate aggregation
TC Chiang, YS Huang, RT Chen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Automated whole breast ultrasound (ABUS) has been widely used as a screening modality
for examination of breast abnormalities. Reviewing hundreds of slices produced by ABUS …
for examination of breast abnormalities. Reviewing hundreds of slices produced by ABUS …
Complexity classes in communication complexity theory
We take a complexity theoretic view of AC Yao's theory of communication complexity. A rich
structure of natural complexity classes is introduced. Besides providing a more structured …
structure of natural complexity classes is introduced. Besides providing a more structured …
Artificial intelligence-based breast cancer diagnosis using ultrasound images and grid-based deep feature generator
H Liu, G Cui, Y Luo, Y Guo, L Zhao… - … Journal of General …, 2022 - Taylor & Francis
Purpose Breast cancer is a prominent cancer type with high mortality. Early detection of
breast cancer could serve to improve clinical outcomes. Ultrasonography is a digital imaging …
breast cancer could serve to improve clinical outcomes. Ultrasonography is a digital imaging …
A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound
The automated whole breast ultrasound (AWBUS) is a new breast imaging technique that
can depict the whole breast anatomy. To facilitate the reading of AWBUS images and …
can depict the whole breast anatomy. To facilitate the reading of AWBUS images and …
Automated breast ultrasonography (ABUS) in the screening and diagnostic setting: indications and practical use
R Rella, P Belli, M Giuliani, E Bufi, G Carlino… - Academic …, 2018 - Elsevier
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 …
scanning through ultrasound. It was first developed to overcome the limitation of operator …