AIMC Topic: Breast Neoplasms

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Breast cancer detection and classification: A study on the specification and implementation of multilayer perceptron analog artificial neural networks.

Computers in biology and medicine Mar 26, 2025
Breast cancer is a leading cause of mortality worldwide. Screening therefore remains the best defense against this disease, highlighting the need for accurate and efficient diagnostic methods. Previous authors addressed this issue by implementing dig...
Neural Networks, Computer Female Breast Neoplasms Multilayer Perceptrons Humans
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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...
Signal-To-Noise Ratio Humans Image Processing, Computer-Assisted Algorithms Early Detection of Cancer Female Breast Neoplasms Deep Learning Breast
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Feature Selection in Breast Cancer Gene Expression Data Using KAO and AOA with SVM Classification.

Journal of medical systems Mar 26, 2025
Breast cancer classification using gene expression data presents significant challenges due to high dimensionality and complexity. This study introduces a novel hybrid framework integrating the Kashmiri Apple Optimization Algorithm (KAO) and the Arma...
Support Vector Machine Humans Algorithms Female Breast Neoplasms Gene Expression Profiling
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Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Cancer Detection.

Medicina (Kaunas, Lithuania) Mar 25, 2025
: Breast cancer (BC) is the most common type of cancer in women, accounting for more than 30% of new female cancers each year. Although various treatments are available for BC, most cancer-related deaths are due to incurable metastases. Therefore, th...
Biomarkers, Tumor Middle Aged Cohort Studies Humans ROC Curve Aged Artificial Intelligence Early Detection of Cancer Adult Female Metabolomics Breast Neoplasms
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Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer.

Scientific reports Mar 25, 2025
Applying deep learning algorithms to mine ultrasound features of breast cancer and construct a machine learning model that accurately predicts Ki-67 expression level. This multi-center retrospective study analyzed clinical and ultrasound data from 92...
Ultrasonography, Mammary Ki-67 Antigen Adult Breast Neoplasms Middle Aged Deep Learning Ultrasonography Support Vector Machine Retrospective Studies Female Aged Humans Algorithms
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Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.

Medical image analysis Mar 21, 2025
Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasound (ABUS) is crucial for clinical diagnosis and treatment planning. Therefore, developing an automated system for nodule segmentation can enhance user...
Supervised Machine Learning Humans Breast Neoplasms Image Interpretation, Computer-Assisted Algorithms Imaging, Three-Dimensional Female Ultrasonography, Mammary
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Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations.

JCO clinical cancer informatics Mar 20, 2025
PURPOSE: To determine the accuracy of large language models (LLMs) in generating appropriate treatment options for patients with early breast cancer on the basis of their medical records.
Artificial Intelligence Retrospective Studies Clinical Decision-Making Humans Decision Making Medical Oncology Large Language Models Female Breast Neoplasms Middle Aged
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Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.

Frontiers in immunology Mar 18, 2025
BACKGROUND: Breast cancer, a heterogeneous malignancy, comprises multiple subtypes and poses a substantial threat to women's health globally. Neoadjuvant therapy (NAT), administered prior to surgery, is integral to breast cancer treatment strategies....
Biomarkers, Tumor Humans Female Proteomics Machine Learning Breast Neoplasms Neoadjuvant Therapy Tumor Microenvironment
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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...
Humans Female Adult Image Processing, Computer-Assisted Breast Neoplasms Magnetic Resonance Imaging Middle Aged Breast Deep Learning
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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.
Breast Neoplasms Middle Aged Image Interpretation, Computer-Assisted Deep Learning Ki-67 Antigen Contrast Media Dynamic Contrast Enhanced Magnetic Resonance Imaging Magnetic Resonance Imaging Female Breast Humans Aged Algorithms Adult Retrospective Studies
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