AIMC Topic: Breast

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Deep learning prediction of mammographic breast density using screening data.

Scientific reports Apr 4, 2025
This study investigated a series of deep learning (DL) models for the objective assessment of four categories of mammographic breast density (e.g., fatty, scattered, heterogeneously dense, and extremely dense). A retrospective analysis was conducted ...
Retrospective Studies Female Aged Humans Radiographic Image Interpretation, Computer-Assisted Breast Breast Density Deep Learning Early Detection of Cancer Mammography Adult Breast Neoplasms Middle Aged
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FET-UNet: Merging CNN and transformer architectures for superior breast ultrasound image segmentation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 3, 2025
PURPOSE: Breast cancer remains a significant cause of mortality among women globally, highlighting the critical need for accurate diagnosis. Although Convolutional Neural Networks (CNNs) have shown effectiveness in segmenting breast ultrasound images...
Breast Breast Neoplasms Image Processing, Computer-Assisted Ultrasonography, Mammary Humans Neural Networks, Computer Female
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VBVT-Net: VOI-Based VVBP-Tensor Network for High-Attenuation Artifact Suppression in Digital Breast Tomosynthesis Imaging.

IEEE transactions on medical imaging Apr 3, 2025
High-attenuation (HA) artifacts may lead to obscured subtle lesions and lesion over-estimation in digital breast tomosynthesis (DBT) imaging. High-attenuation artifact suppression (HAAS) is vital for widespread DBT applications in clinic. The convent...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Mammography Breast Artifacts Algorithms Female Breast Neoplasms
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Enhancing registration accuracy and eminence of multispectral transmission breast images by fusing multi-wavelength gen using vision transformer and LSTM.

Scientific reports Mar 26, 2025
Enduring studies in the field of early breast cancer screening are investigating the use of multispectral transmission imaging. The frame accumulation system handles multispectral transmission images with deprived grayscale and unsatisfactory resolut...
Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer Breast Signal-To-Noise Ratio Humans Algorithms Female
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Comparative analysis of deep learning architectures for breast region segmentation with a novel breast boundary proposal.

Scientific reports Mar 14, 2025
Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for the automatic measurement of breast density and the quantitative analysis of imaging findings. This study aims to compare various dee...
Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Breast Female Adult Breast Neoplasms Humans
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DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

Magnetic resonance imaging Mar 13, 2025
OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic contrast-enhanced MRI (DCE-MRI) can help predict Ki-67 expression level in breast cancer.
Ki-67 Antigen Dynamic Contrast Enhanced Magnetic Resonance Imaging Breast Neoplasms Middle Aged Deep Learning Breast Image Interpretation, Computer-Assisted Contrast Media Female Magnetic Resonance Imaging Aged Humans Adult Algorithms Retrospective Studies
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Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate breast tumor segmentation in ultrasound images is a crucial step in medical diagnosis and locating the tumor region. However, segmentation faces numerous challenges due to the complexity of ultrasound images, similar intensity distributions,...
Breast Neoplasms Deep Learning Ultrasonography, Mammary Neural Networks, Computer Algorithms Female Breast Image Interpretation, Computer-Assisted Humans
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A multi-task self-supervised approach for mass detection in automated breast ultrasound using double attention recurrent residual U-Net.

Computers in biology and medicine Feb 20, 2025
Breast cancer is the most common and lethal cancer among women worldwide. Early detection using medical imaging technologies can significantly improve treatment outcomes. Automated breast ultrasound, known as ABUS, offers more advantages compared to ...
Ultrasonography, Mammary Humans Female Breast Neural Networks, Computer Image Interpretation, Computer-Assisted Breast Neoplasms Deep Learning
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Assessment of breast composition in MRI using artificial intelligence - A systematic review.

Radiography (London, England : 1995) Feb 20, 2025
INTRODUCTION: Magnetic Resonance Imaging (MRI) performs a critical role in breast cancer diagnosis, especially for high-risk populations e.g. family history. MRI could take advantage of the implementation of artificial intelligence (AI). AI assessmen...
Breast Density Breast Neoplasms Humans Magnetic Resonance Imaging Artificial Intelligence Breast Female
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Multimodal deep learning fusion of ultrafast-DCE MRI and clinical information for breast lesion classification.

Computers in biology and medicine Feb 19, 2025
BACKGROUND: Breast cancer is the most common cancer worldwide, and magnetic resonance imaging (MRI) constitutes a very sensitive technique for invasive cancer detection. When reviewing breast MRI examination, clinical radiologists rely on multimodal ...
Humans Retrospective Studies Female Middle Aged Magnetic Resonance Imaging Aged Deep Learning Adult Breast Contrast Media Breast Neoplasms Image Interpretation, Computer-Assisted
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