AIMC Topic: Breast

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Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Biomedical physics & engineering express Jul 23, 2025
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...
Reproducibility of Results Aged Adult Breast Neoplasms Humans Machine Learning Algorithms Female Mammography Breast Breast Density Middle Aged Deep Learning Image Processing, Computer-Assisted
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Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach.

Scientific reports Jul 8, 2025
Breast cancer is a prevalent disease affecting millions of women worldwide, and early screening can significantly reduce mortality rates. Mammograms are widely used for screening, but manual readings can lead to misdiagnosis. Computer-assisted diagno...
Algorithms Humans Early Detection of Cancer Female Mammography Breast Neoplasms Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Breast
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Multi-site validation of an interpretable model to analyze breast masses.

PloS one Jun 26, 2025
An external validation of IAIA-BL-a deep-learning based, inherently interpretable breast lesion malignancy prediction model-was performed on two patient populations: 207 women ages 31 to 96, (425 mammograms) from iCAD, and 58 women (104 mammograms) f...
Middle Aged Deep Learning Mammography Breast Aged, 80 and over Adult Breast Neoplasms Humans Female Aged
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Exploratory multi-cohort, multi-reader study on the clinical utility of a deep learning model for transforming cryosectioned to formalin-fixed, paraffin-embedded (FFPE) images in breast lesion diagnosis.

Breast cancer research : BCR Jun 17, 2025
BACKGROUND: Cryosectioned tissues often exhibit artifacts that compromise pathologists' diagnostic accuracy during intraoperative assessments. These inconsistencies, compounded by variations in frozen section (FS) production across laboratories, high...
Formaldehyde Breast Image Interpretation, Computer-Assisted Tissue Fixation Frozen Sections Paraffin Embedding Cryoultramicrotomy Breast Neoplasms Deep Learning Cohort Studies Image Processing, Computer-Assisted Humans Female
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Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

British journal of hospital medicine (London, England : 2005) Jun 15, 2025
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has dem...
Deep Learning ROC Curve Ultrasonography, Mammary Breast Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Retrospective Studies Female Aged Humans Neural Networks, Computer Artificial Intelligence
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The value of machine learning based on magnetic resonance imaging (MRI) and biopsy whole-slide image to predict pathological complete response to breast cancer after neoadjuvant chemotherapy: a two-centre study.

Clinical radiology Jun 4, 2025
AIM: To develop and validate a combined model based on magnetic resonance imaging (MRI), and whole-slide imaging (WSI) to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer.
Female Aged Adult Breast Neoplasms Humans Machine Learning Retrospective Studies Predictive Value of Tests Biopsy Breast Chemotherapy, Adjuvant Middle Aged Nomograms Neoadjuvant Therapy Magnetic Resonance Imaging
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms.

PloS one May 29, 2025
Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. However, its early detection is crucial for improving patient outcomes. Thermography, which measures temperature variations between heal...
Humans Early Detection of Cancer Female Breast Breast Neoplasms Neural Networks, Computer Nonlinear Dynamics Diagnosis, Computer-Assisted Fractals Machine Learning Thermography Support Vector Machine Algorithms
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AI-assisted diffuse correlation tomography for identifying breast cancer.

Journal of biomedical optics May 16, 2025
SIGNIFICANCE: Diffuse correlation tomography (DCT) is an emerging technique for the noninvasive measurement of breast microvascular blood flow, whereas its capability to categorize benign and malignant breast lesions has not been extensively validate...
Tomography Humans Artificial Intelligence Algorithms Middle Aged Image Processing, Computer-Assisted Female Breast Aged Image Interpretation, Computer-Assisted Adult Breast Neoplasms
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BentRay-NeRF: Bent-Ray Neural Radiance Fields for Robust Speed-of-Sound Imaging in Ultrasound Computed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Ultrasound computed tomography (USCT) is a promising technique for breast cancer detection because of its quantitative imaging capability of the speed of sound (SOS) of soft tissues and the fact that malignant breast lesions often have a higher SOS c...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Female Neural Networks, Computer Breast Breast Neoplasms Phantoms, Imaging Algorithms Ultrasonography
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Supervised Information Mining From Weakly Paired Images for Breast IHC Virtual Staining.

IEEE transactions on medical imaging May 6, 2025
Immunohistochemistry (IHC) examination is essential to determine the tumour subtypes, provide key prognostic factors, and develop personalized treatment plans for breast cancer. However, compared to Hematoxylin and Eosin (H&E) staining, the preparati...
Immunohistochemistry Humans Supervised Machine Learning Female Data Mining Breast Neoplasms Image Interpretation, Computer-Assisted Breast
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