AIMC Topic: Breast

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Deep-AutoMO: Deep automated multiobjective neural network for trustworthy lesion malignancy diagnosis in the early stage via digital breast tomosynthesis.

Computers in biology and medicine Oct 23, 2024
Breast cancer is the most prevalent cancer in women, and early diagnosis of malignant lesions is crucial for developing treatment plans. Digital breast tomosynthesis (DBT) has emerged as a valuable tool for early breast cancer detection, as it can id...
Female Breast Neoplasms Deep Learning Mammography Breast Humans Neural Networks, Computer
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Ultrasound for breast cancer detection: A bibliometric analysis of global trends between 2004 and 2024.

Medical ultrasonography Oct 17, 2024
With the advancement of computer technology and imaging equipment, ultrasound has emerged as a crucial tool in breast cancer diagnosis. To gain deeper insights into the research landscape of ultrasound in breast cancer diagnosis, this study employed ...
Breast Neoplasms Humans Female Bibliometrics Ultrasonography, Mammary Breast
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Optimization and correction of breast dynamic optical imaging projection data based on deep learning.

Computational biology and chemistry Oct 17, 2024
Breast cancer poses a significant health threat to women, necessitating advancements in diagnostic technologies. Breast dynamic optical imaging (DOI) technology, recognized for its non-invasive and radiation-free properties, is extensively utilized f...
Optical Imaging Deep Learning Humans Image Processing, Computer-Assisted Breast Female Neural Networks, Computer Breast Neoplasms Algorithms
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TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs.

Medical image analysis Oct 16, 2024
Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging task owing to the complexity of underlying tissue structures. Existing quantitative approaches, like radiomics and deep learning ...
Neoadjuvant Therapy Contrast Media Magnetic Resonance Imaging Female Breast Neoplasms Deep Learning Breast Image Interpretation, Computer-Assisted Phantoms, Imaging Humans
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Multiparametric MRI Radiomics With Machine Learning for Differentiating HER2-Zero, -Low, and -Positive Breast Cancer: Model Development, Testing, and Interpretability Analysis.

AJR. American journal of roentgenology Oct 16, 2024
MRI radiomics has been explored for three-tiered classification of HER2 expression levels (i.e., HER2-zero, HER2-low, or HER2-positive) in patients with breast cancer, although an understanding of how such models reach their predictions is lacking. ...
Humans Machine Learning Retrospective Studies Female Breast Image Interpretation, Computer-Assisted Receptor, ErbB-2 Radiomics Multiparametric Magnetic Resonance Imaging Aged Middle Aged Adult Magnetic Resonance Imaging Breast Neoplasms
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Detection of breast cancer in digital breast tomosynthesis with vision transformers.

Scientific reports Sep 27, 2024
Digital Breast Tomosynthesis (DBT) has revolutionized more traditional breast imaging through its three-dimensional (3D) visualization capability that significantly enhances lesion discernibility, reduces tissue overlap, and improves diagnostic preci...
Mammography Radiographic Image Interpretation, Computer-Assisted Breast Humans Female Neural Networks, Computer Breast Neoplasms Algorithms Imaging, Three-Dimensional
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Cross-site Validation of AI Segmentation and Harmonization in Breast MRI.

Journal of imaging informatics in medicine Sep 25, 2024
This work aims to perform a cross-site validation of automated segmentation for breast cancers in MRI and to compare the performance to radiologists. A three-dimensional (3D) U-Net was trained to segment cancers in dynamic contrast-enhanced axial MRI...
Imaging, Three-Dimensional Magnetic Resonance Imaging Breast Female Reproducibility of Results Breast Neoplasms Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis.

Breast (Edinburgh, Scotland) Sep 19, 2024
PURPOSE: To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosynthesis (DBT), DM combined DBT with AI-based strategies for breast mass ≤ 2 cm.
Breast Neoplasms Humans Middle Aged Artificial Intelligence Female Deep Learning Retrospective Studies ROC Curve Breast Aged Mammography Adult Area Under Curve
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CBAM-RIUnet: Breast Tumor Segmentation With Enhanced Breast Ultrasound and Test-Time Augmentation.

Ultrasonic imaging Sep 16, 2024
This study addresses the challenge of precise breast tumor segmentation in ultrasound images, crucial for effective Computer-Aided Diagnosis (CAD) in breast cancer. We introduce CBAM-RIUnet, a deep learning (DL) model for automated breast tumor segme...
Breast Humans Image Interpretation, Computer-Assisted Breast Neoplasms Female Deep Learning Ultrasonography, Mammary
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Deep learning Radiomics Based on Two-Dimensional Ultrasound for Predicting the Efficacy of Neoadjuvant Chemotherapy in Breast Cancer.

Ultrasonic imaging Sep 10, 2024
We investigate the predictive value of a comprehensive model based on preoperative ultrasound radiomics, deep learning, and clinical features for pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for the breast cancer. We enro...
Retrospective Studies Female Aged Adult Breast Neoplasms Breast Radiomics Chemotherapy, Adjuvant Humans Neoadjuvant Therapy Middle Aged Predictive Value of Tests Deep Learning Ultrasonography, Mammary Treatment Outcome
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