AIMC Topic: Breast Neoplasms

Clear Filters Showing 131 to 140 of 2158 articles

Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate breast tumor segmentation in ultrasound images is a crucial step in medical diagnosis and locating the tumor region. However, segmentation faces numerous challenges due to the complexity of ultrasound images, similar intensity distributions,...
Image Interpretation, Computer-Assisted Deep Learning Ultrasonography, Mammary Breast Female Breast Neoplasms Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Development of Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer Patients Using Clinical Risk Factors, Patient-Reported Outcomes, and Serum Cytokine Biomarkers.

Clinical breast cancer Mar 5, 2025
BACKGROUND: Radiation dermatitis (RD) is a significant side effect of radiotherapy experienced by breast cancer patients. Severe symptoms include desquamation or ulceration of irradiated skin, which impacts quality of life and increases healthcare co...
Logistic Models Humans Machine Learning Prognosis Aged Biomarkers, Tumor Patient Reported Outcome Measures Female Cytokines Middle Aged Adult Radiodermatitis Quality of Life Biomarkers Breast Neoplasms Risk Factors
View on PubMed DOI

Multi-task interaction learning for accurate segmentation and classification of breast tumors in ultrasound images.

Physics in medicine and biology Mar 5, 2025
In breast diagnostic imaging, the morphological variability of breast tumors and the inherent ambiguity of ultrasound images pose significant challenges. Moreover, multi-task computer-aided diagnosis systems in breast imaging may overlook inherent re...
Ultrasonography Machine Learning Image Processing, Computer-Assisted Female Humans Breast Neoplasms
View on PubMed DOI

Breast cancer prediction based on gene expression data using interpretable machine learning techniques.

Scientific reports Mar 4, 2025
Breast cancer remains a global health burden, with an increase in deaths related to this particular cancer. Accurately predicting and diagnosing breast cancer is important for treatment development and survival of patients. This study aimed to accura...
Breast Neoplasms Gene Expression Profiling Computational Biology Humans Machine Learning Gene Expression Regulation, Neoplastic Female Support Vector Machine
View on PubMed DOI

Deep learning-assisted identification and localization of ductal carcinoma from bulk tissue in-silico models generated through polarized Monte Carlo simulations.

Biomedical physics & engineering express Mar 4, 2025
Despite significant progress in diagnosis and treatment, breast cancer remains a formidable health challenge, emphasizing the continuous need for research. This simulation study uses polarized Monte Carlo approach to identify and locate breast cancer...
Carcinoma, Ductal, Breast Monte Carlo Method Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Computer Simulation Female
View on PubMed DOI

Machine-learning diagnostics of breast cancer using piRNA biomarkers.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Mar 4, 2025
BACKGROUND AND OBJECTIVES: Prior studies have shown that small non-coding RNAs (sncRNAs) are associated with cancer occurrence or development. Recently, a newly discovered class of small ncRNAs known as PIWI-interacting RNAs (piRNAs) have been found ...
Humans Biomarkers, Tumor Logistic Models RNA, Small Interfering Machine Learning Female Breast Neoplasms Piwi-Interacting RNA
View on PubMed DOI

Integrating radiomics into predictive models for low nuclear grade DCIS using machine learning.

Scientific reports Mar 3, 2025
Predicting low nuclear grade DCIS before surgery can improve treatment choices and patient care, thereby reducing unnecessary treatment. Due to the high heterogeneity of DCIS and the limitations of biopsies in fully characterizing tumors, current dia...
Female Aged Adult Humans Breast Neoplasms Mammography Machine Learning Radiomics Neoplasm Grading Middle Aged Prognosis Carcinoma, Intraductal, Noninfiltrating
View on PubMed DOI

Synergistic transfer learning and adversarial networks for breast cancer diagnosis: benign vs. invasive classification.

Scientific reports Mar 3, 2025
Current breast cancer diagnosis methods often face limitations such as high cost, time consumption, and inter-observer variability. To address these challenges, this research proposes a novel deep learning framework that leverages generative adversar...
Female Humans Breast Neoplasms Neural Networks, Computer Deep Learning Algorithms
View on PubMed DOI

The Extent to Which Artificial Intelligence Can Help Fulfill Metastatic Breast Cancer Patient Healthcare Needs: A Mixed-Methods Study.

Current oncology (Toronto, Ont.) Mar 2, 2025
The Artificial Intelligence Patient Librarian (AIPL) was designed to meet the psychosocial and supportive care needs of Metastatic Breast Cancer (MBC) patients with HR+/HER2- subtypes. AIPL provides conversational patient education, answers user ques...
Surveys and Questionnaires Patient Education as Topic Neoplasm Metastasis Breast Neoplasms Middle Aged Female Aged Adult Humans Artificial Intelligence
View on PubMed DOI

Artificial Intelligence in Breast Reconstruction: A Narrative Review.

Medicina (Kaunas, Lithuania) Feb 28, 2025
Breast reconstruction following mastectomy or sectorectomy significantly impacts the quality of life and psychological well-being of breast cancer patients. Since its inception in the 1950s, artificial intelligence (AI) has gradually entered the medi...
Mammaplasty Female Humans Breast Neoplasms Artificial Intelligence Mastectomy
View on PubMed DOI
Popular Topics
Recent Journals