AIMC Topic: Breast

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Accelerated High-resolution T1- and T2-weighted Breast MRI with Deep Learning Super-resolution Reconstruction.

Academic radiology Jan 9, 2025
RATIONALE AND OBJECTIVES: To assess the performance of an industry-developed deep learning (DL) algorithm to reconstruct low-resolution Cartesian T1-weighted dynamic contrast-enhanced (T1w) and T2-weighted turbo-spin-echo (T2w) sequences and compare ...
Adult Breast Neoplasms Middle Aged Prospective Studies Female Aged Breast Image Interpretation, Computer-Assisted Humans Image Enhancement Algorithms Signal-To-Noise Ratio Deep Learning Contrast Media Magnetic Resonance Imaging
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Breast cancer classification based on breast tissue structures using the Jigsaw puzzle task in self-supervised learning.

Radiological physics and technology Jan 6, 2025
Self-supervised learning (SSL) has gained attention in the medical field as a deep learning approach utilizing unlabeled data. The Jigsaw puzzle task in SSL enables models to learn both features of images and the positional relationships within image...
Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Mammography Humans Female Breast Supervised Machine Learning
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Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI.

IEEE transactions on medical imaging Jan 2, 2025
Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for identifying the presence of breast disease. However, accurate segment...
Breast Neoplasms Magnetic Resonance Imaging Breast Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms Dynamic Contrast Enhanced Magnetic Resonance Imaging Humans Female
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Deep learning radiomics on grayscale ultrasound images assists in diagnosing benign and malignant of BI-RADS 4 lesions.

Scientific reports Dec 28, 2024
This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound images to assist radiologists in distinguishing between benign breast lesions (BBL) and malignant breast lesions (MBL). A total of 382 patients with breas...
Middle Aged Breast ROC Curve Deep Learning Adult Diagnosis, Differential Breast Neoplasms Ultrasonography Ultrasonography, Mammary Radiomics Humans Female Aged
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Comparison of conventional diffusion-weighted imaging and multiplexed sensitivity-encoding combined with deep learning-based reconstruction in breast magnetic resonance imaging.

Magnetic resonance imaging Dec 21, 2024
PURPOSE: To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-based reconstruction (DLR) for breast imaging in comparison with conventional diffusion-weighted imaging (DWI) and MUSE alone.
Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Reproducibility of Results Aged Adult Humans Female Image Processing, Computer-Assisted Breast Neoplasms Feasibility Studies Breast Middle Aged Image Interpretation, Computer-Assisted Deep Learning
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Interactively Fusing Global and Local Features for Benign and Malignant Classification of Breast Ultrasound Images.

Ultrasound in medicine & biology Dec 20, 2024
OBJECTIVE: Breast ultrasound (BUS) is used to classify benign and malignant breast tumors, and its automatic classification can reduce subjectivity. However, current convolutional neural networks (CNNs) face challenges in capturing global features, w...
Deep Learning Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Neural Networks, Computer Female Breast Neoplasms Humans
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Use and Comparison of Machine Learning Techniques to Discern the Protein Patterns of Autoantibodies Present in Women with and without Breast Pathology.

Journal of proteome research Dec 19, 2024
Breast cancer (BC) has become a global health problem, ranking first in incidence and fifth in mortality in women around the world. Although there are some diagnostic methods for the disease, these are not sufficiently effective and are invasive. In ...
Humans Neural Networks, Computer Breast Supervised Machine Learning Breast Neoplasms Cell Line, Tumor Autoantibodies Machine Learning Algorithms Female
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Advanced analytical methods for multi-spectral transmission imaging optimization: enhancing breast tissue heterogeneity detection and tumor screening with hybrid image processing and deep learning.

Analytical methods : advancing methods and applications Dec 19, 2024
Light sources exhibit significant absorption and scattering effects during the transmission through biological tissues, posing challenges in identifying heterogeneities in multi-spectral images. This paper introduces a fusion of techniques encompassi...
Image Processing, Computer-Assisted Early Detection of Cancer Breast Female Breast Neoplasms Deep Learning Phantoms, Imaging Humans
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Segmentation for mammography classification utilizing deep convolutional neural network.

BMC medical imaging Dec 18, 2024
BACKGROUND: Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identification of breast masses. However, in the early stages, it might be challenging to ascertain whether a breast mass is benign or malignant. Consequently...
Mammography Radiographic Image Interpretation, Computer-Assisted Breast Humans Breast Neoplasms Deep Learning Neural Networks, Computer Female
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Attention-based Fusion Network for Breast Cancer Segmentation and Classification Using Multi-modal Ultrasound Images.

Ultrasound in medicine & biology Dec 17, 2024
OBJECTIVE: Breast cancer is one of the most commonly occurring cancers in women. Thus, early detection and treatment of cancer lead to a better outcome for the patient. Ultrasound (US) imaging plays a crucial role in the early detection of breast can...
Deep Learning Multimodal Imaging Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Humans Female Breast Neoplasms
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