A review on image-based approaches for breast cancer detection, segmentation, and classification
Z Rezaei - Expert Systems with Applications, 2021 - Elsevier
The breast cancer as the most life-threatening disease among the woman has emerged in
the worldwide. It is supposed that the early testing and treatment for breast cancer detection …
the worldwide. It is supposed that the early testing and treatment for breast cancer detection …
Attention-enriched deep learning model for breast tumor segmentation in ultrasound images
Incorporating human domain knowledge for breast tumor diagnosis is challenging because
shape, boundary, curvature, intensity or other common medical priors vary significantly …
shape, boundary, curvature, intensity or other common medical priors vary significantly …
Methods for the segmentation and classification of breast ultrasound images: a review
Purpose Breast ultrasound (BUS) is one of the imaging modalities for the diagnosis and
treatment of breast cancer. However, the segmentation and classification of BUS images is a …
treatment of breast cancer. However, the segmentation and classification of BUS images is a …
Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model
Y Hu, Y Guo, Y Wang, J Yu, J Li, S Zhou… - Medical …, 2019 - Wiley Online Library
Purpose Due to the low contrast, blurry boundaries, and large amount of shadows in breast
ultrasound (BUS) images, automatic tumor segmentation remains a challenging task. Deep …
ultrasound (BUS) images, automatic tumor segmentation remains a challenging task. Deep …
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 …
Breast ultrasound region of interest detection and lesion localisation
In current breast ultrasound computer aided diagnosis systems, the radiologist preselects a
region of interest (ROI) as an input for computerised breast ultrasound image analysis. This …
region of interest (ROI) as an input for computerised breast ultrasound image analysis. This …
A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound
W Gómez-Flores… - Computers in Biology and …, 2020 - Elsevier
The automatic segmentation of breast tumors in ultrasound (BUS) has recently been
addressed using convolutional neural networks (CNN). These CNN-based approaches …
addressed using convolutional neural networks (CNN). These CNN-based approaches …
[HTML][HTML] Deep Learning-based Multi-stage segmentation method using ultrasound images for breast cancer diagnosis
SW Cho, NR Baek, KR Park - Journal of King Saud University-Computer …, 2022 - Elsevier
Globally, breast cancer occurs frequently in women and has the highest mortality rate.
Owing to the increased need for a rapid and reliable initial diagnosis of breast cancer …
Owing to the increased need for a rapid and reliable initial diagnosis of breast cancer …
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 tumors recognition based on edge feature extraction using support vector machine
Y Liu, L Ren, X Cao, Y Tong - Biomedical Signal Processing and Control, 2020 - Elsevier
Nowadays, it is important for the detection of ultrasound images of breast tumors. In this
paper, a new ultrasonic image feature extraction algorithm combining edge-based features …
paper, a new ultrasonic image feature extraction algorithm combining edge-based features …