AIMC Topic: Breast Neoplasms

Clear Filters Showing 241 to 250 of 2158 articles

DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification.

Computer methods and programs in biomedicine Jan 6, 2025
BACKGROUND AND OBJECTIVE: Single-source domain generalization (SSDG) aims to generalize a deep learning (DL) model trained on one source dataset to multiple unseen datasets. This is important for the clinical applications of DL-based models to breast...
Mammography Humans Algorithms Breast Neoplasms Deep Learning Databases, Factual Early Detection of Cancer Female
View on PubMed DOI

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...
Female Breast Neoplasms Deep Learning Humans Image Processing, Computer-Assisted Mammography Breast Supervised Machine Learning
View on PubMed DOI

Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.

BMC medical imaging Jan 6, 2025
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their i...
Neoplasm Staging Image Interpretation, Computer-Assisted Breast Neoplasms Immunohistochemistry Deep Learning Receptor, ErbB-2 Image Processing, Computer-Assisted Humans Female
View on PubMed DOI

Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models.

Scientific reports Jan 6, 2025
This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique for breast tumor segmentation based on a modified UNet architecture. To improve segmentation accuracy, the model integrates attention mechanisms, such...
Image Interpretation, Computer-Assisted Humans Deep Learning Algorithms Image Processing, Computer-Assisted Female Ultrasonography, Mammary Breast Neoplasms
View on PubMed DOI

Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients.

Scientific reports Jan 6, 2025
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial les...
Nomograms Endometrium Antineoplastic Agents, Hormonal Adult Breast Neoplasms Middle Aged Tamoxifen Premenopause Humans Machine Learning Retrospective Studies Female Risk Factors
View on PubMed DOI

Insights into AI advances in immunohistochemistry for effective breast cancer treatment: a literature review of ER, PR, and HER2 scoring.

Current medical research and opinion Jan 6, 2025
Breast cancer is a significant health challenge, with accurate and timely diagnosis being critical to effective treatment. Immunohistochemistry (IHC) staining is a widely used technique for the evaluation of breast cancer markers, but manual scoring ...
Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Artificial Intelligence Breast Neoplasms Humans Biomarkers, Tumor Machine Learning Immunohistochemistry Female
View on PubMed DOI

Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.

Medical image analysis Jan 3, 2025
Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide...
Humans Machine Learning Algorithms Breast Neoplasms Neoplasms Image Interpretation, Computer-Assisted
View on PubMed DOI

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...
Humans Neural Networks, Computer Algorithms Breast Image Interpretation, Computer-Assisted Dynamic Contrast Enhanced Magnetic Resonance Imaging Female Breast Neoplasms Magnetic Resonance Imaging
View on PubMed DOI

Analyzing Secondary Cancer Risk: A Machine Learning Approach.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2025
OBJECTIVE: Addressing the rising cancer rates through timely diagnosis and treatment is crucial. Additionally, cancer survivors need to understand the potential risk of developing secondary cancer (SC), which can be influenced by several factors incl...
Humans Machine Learning Cancer Survivors Colonic Neoplasms Linear Models Neoplasms, Second Primary Breast Neoplasms Risk Assessment Lung Neoplasms Prognosis Female Risk Factors
View on PubMed DOI

Radial SERS acquisition on coffee ring for Serum-based breast cancer diagnosis through Multilayer Perceptron.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 31, 2024
The coffee-ring effect, involving spontaneous solute separation, has demonstrated promising potential in the context of patient serum analysis. In this study, an approach leveraging the coffee-ring-based analyte redistribution was developed for spect...
Gold Metal Nanoparticles Multilayer Perceptrons Serum Albumin, Bovine Humans Female Neural Networks, Computer Breast Neoplasms Spectrum Analysis, Raman
View on PubMed DOI
Popular Topics
Recent Journals