Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images
Tumor classification and segmentation are two important tasks for computer-aided diagnosis
(CAD) using 3D automated breast ultrasound (ABUS) images. However, they are …
(CAD) using 3D automated breast ultrasound (ABUS) images. However, they are …
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
Breast cancer is one of the most common causes of death among women worldwide. Early
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
Transition of traditional method to deep learning based computer-aided system for breast cancer using automated breast ultrasound system (abus) images: a review
DNF Pengiran Mohamad, S Mashohor… - Artificial Intelligence …, 2023 - Springer
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 …
and diagnosis of BC can help significantly reduce the mortality rate. Ultrasound (US) can be …
Attention dense-u-net for automatic breast mass segmentation in digital mammogram
S Li, M Dong, G Du, X Mu - Ieee Access, 2019 - ieeexplore.ieee.org
Breast mass is one of the most distinctive signs for the diagnosis of breast cancer, and the
accurate segmentation of masses is critical for improving the accuracy of breast cancer …
accurate segmentation of masses is critical for improving the accuracy of breast cancer …
Uncertainty aware temporal-ensembling model for semi-supervised abus mass segmentation
Accurate breast mass segmentation of automated breast ultrasound (ABUS) images plays a
crucial role in 3D breast reconstruction which can assist radiologists in surgery planning …
crucial role in 3D breast reconstruction which can assist radiologists in surgery planning …
[HTML][HTML] A review of ultrasound detection methods for breast microcalcification
Y Ouyang, Z Zhou, W Wu, J Tian, F Xu… - Mathematical …, 2019 - aimspress.com
Breast microcalcifications are one of the important imaging features of early breast cancer
and are a key to early breast cancer diagnosis. Ultrasound imaging has been widely used in …
and are a key to early breast cancer diagnosis. Ultrasound imaging has been widely used in …
Automatic identification of breast ultrasound image based on supervised block-based region segmentation algorithm and features combination migration deep …
WX Liao, P He, J Hao, XY Wang… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial
role in the successful treatment of the disease and the effective reduction of deaths. In this …
role in the successful treatment of the disease and the effective reduction of deaths. In this …
A multi-task learning framework for automated segmentation and classification of breast tumors from ultrasound images
Breast cancer is one of the most fatal diseases leading to the death of several women across
the world. But early diagnosis of breast cancer can help to reduce the mortality rate. So an …
the world. But early diagnosis of breast cancer can help to reduce the mortality rate. So an …
Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism
Accurate breast mass segmentation of automated breast ultrasound (ABUS) is a great help
to breast cancer diagnosis and treatment. However, the lack of clear boundary and …
to breast cancer diagnosis and treatment. However, the lack of clear boundary and …
Breast DCE-MRI segmentation for lesion detection by multi-level thresholding using student psychological based optimization
In recent years, the high prevalence of breast cancer in women has risen dramatically.
Therefore, segmentation of breast Dynamic Contrast-Enhanced Magnetic Resonance …
Therefore, segmentation of breast Dynamic Contrast-Enhanced Magnetic Resonance …