[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
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 …
Automated breast ultrasound: technical aspects, impact on breast screening, and future perspectives
I Allajbeu, SE Hickman, N Payne, P Moyle… - Current Breast Cancer …, 2021 - Springer
Abstract Purpose of Review Automated breast ultrasound (ABUS) is a three-dimensional
imaging technique, used as a supplemental screening tool in women with dense breasts …
imaging technique, used as a supplemental screening tool in women with dense breasts …
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 …
Dilated densely connected U-Net with uncertainty focus loss for 3D ABUS mass segmentation
Background and objective Accurate segmentation of breast mass in 3D automated breast
ultrasound (ABUS) images plays an important role in qualitative and quantitative ABUS …
ultrasound (ABUS) images plays an important role in qualitative and quantitative ABUS …
Lesion segmentation in ultrasound using semi-pixel-wise cycle generative adversarial nets
J Xing, Z Li, B Wang, Y Qi, B Yu… - … ACM transactions on …, 2020 - ieeexplore.ieee.org
Breast cancer is the most common invasive cancer with the highest cancer occurrence in
females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the …
females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the …
Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound
Accurate segmentation of breast mass in 3D automated breast ultrasound (ABUS) plays an
important role in breast cancer analysis. Deep convolutional networks have become a …
important role in breast cancer analysis. Deep convolutional networks have become a …
[HTML][HTML] Fully automated lesion segmentation and visualization in automated whole breast ultrasound (ABUS) images
CY Lee, TF Chang, YH Chou… - Quantitative Imaging in …, 2020 - ncbi.nlm.nih.gov
Background The number of breast cancer patients has increased each year, and the
demand for breast cancer detection has become quite large. There are many common …
demand for breast cancer detection has become quite large. There are many common …
Application of convolution neural network algorithm based on multicenter abus images in breast lesion detection
J Zhang, X Tao, Y Jiang, X Wu, D Yan, W Xue… - Frontiers in …, 2022 - frontiersin.org
Objective This study aimed to evaluate a convolution neural network algorithm for breast
lesion detection with multi-center ABUS image data developed based on ABUS image and …
lesion detection with multi-center ABUS image data developed based on ABUS image and …
Interlayer information fusion-based and dual-attention improved U-Net for ABVS image sequence intelligent tumor segmentation
X Yang, X Li, Y Qin, H Wang, C Zhao, Y Yin - Biomedical Signal Processing …, 2024 - Elsevier
Breast cancer is the most common cancer among women. Accurate and intelligent
ultrasound image tumor segmentation can help physicians efficiently determine the location …
ultrasound image tumor segmentation can help physicians efficiently determine the location …