AIMC Topic: Breast

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Image quality and diagnostic performance of deep learning reconstruction for diffusion- weighted imaging in 3 T breast MRI.

European journal of radiology Feb 12, 2025
PURPOSE: This study aimed to assess the image quality and the diagnostic value of deep learning reconstruction (DLR) for diffusion-weighted imaging (DWI) compared with conventional single-shot echo-planar imaging (ss-EPI) in 3 T breast MRI.
Breast Neoplasms Middle Aged Deep Learning Female Aged Adult Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Breast Image Interpretation, Computer-Assisted Artifacts Humans Prospective Studies
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Chan-Vese aided fuzzy C-means approach for whole breast and fibroglandular tissue segmentation: Preliminary application to real-world breast MRI.

Medical physics Feb 5, 2025
BACKGROUND: Magnetic resonance imaging (MRI) is a highly sensitive modality for diagnosing breast cancer, providing an expanding range of clinical usages that are crucial for the care of women at elevated risk of breast cancer development. Segmentati...
Humans Female Fuzzy Logic Breast Breast Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Integrating Eye Tracking With Grouped Fusion Networks for Semantic Segmentation on Mammogram Images.

IEEE transactions on medical imaging Feb 4, 2025
Medical image segmentation has seen great progress in recent years, largely due to the development of deep neural networks. However, unlike in computer vision, high-quality clinical data is relatively scarce, and the annotation process is often a bur...
Semantics Image Processing, Computer-Assisted Mammography Breast Neural Networks, Computer Humans Breast Neoplasms Algorithms Eye-Tracking Technology Female Deep Learning
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Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.

IEEE reviews in biomedical engineering Jan 28, 2025
Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020. Breast imaging plays a significant role in early diagnosis and intervention to improve the outcome of breast cancer patients. In the past decade, deep l...
Magnetic Resonance Imaging Mammography Breast Image Interpretation, Computer-Assisted Female Breast Neoplasms Deep Learning Humans
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Integration of MRI radiomics and clinical data for preoperative prediction of vascular invasion in breast cancer: A deep learning approach.

Magnetic resonance imaging Jan 27, 2025
BACKGROUND: Accurate preoperative prediction of vascular invasion in breast cancer is crucial for surgical planning and patient management. MRI radiomics has shown promise in enhancing diagnostic precision. This study aims to evaluate the effectivene...
Image Interpretation, Computer-Assisted Preoperative Care Diffusion Magnetic Resonance Imaging Breast Neoplasms Magnetic Resonance Imaging Humans Radiomics Aged Deep Learning Neoplasm Invasiveness Retrospective Studies Middle Aged Adult Breast Image Processing, Computer-Assisted Female Sensitivity and Specificity Contrast Media
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A multi-model machine learning framework for breast cancer risk stratification using clinical and imaging data.

Journal of X-ray science and technology Jan 27, 2025
PurposeThis study presents a comprehensive machine learning framework for assessing breast cancer malignancy by integrating clinical features with imaging features derived from deep learning.MethodsThe dataset included 1668 patients with documented b...
Risk Assessment Aged Humans Mammography Breast Neoplasms Machine Learning Breast Middle Aged Female
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Untargeted Swab Touch Spray-Mass Spectrometry Analysis with Machine Learning for On-Site Breast Surgical Margin Assessment.

Analytical chemistry Jan 19, 2025
Direct sampling mass spectrometry (MS) has rapidly advanced with the development of ambient ionization MS techniques. Swab touch-spray (TS)-MS has shown promise for rapid clinical diagnostics. However, commercially available swabs are notorious for t...
Breast Neoplasms Mass Spectrometry Breast Margins of Excision Humans Machine Learning Female
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Multi-institutional Knowledge-Based (KB) plan prediction benchmark models for whole breast irradiation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 16, 2025
PURPOSE: To train and validate KB prediction models by merging a large multi-institutional cohort of whole breast irradiation (WBI) plans using tangential fields.
Humans Female Knowledge Bases Radiotherapy Planning, Computer-Assisted Breast Neoplasms Radiotherapy Dosage Breast Benchmarking
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Attention-guided erasing for enhanced transfer learning in breast abnormality classification.

International journal of computer assisted radiology and surgery Jan 15, 2025
PURPOSE: Breast cancer remains one of the most prevalent cancers globally, necessitating effective early screening and diagnosis. This study investigates the effectiveness and generalizability of our recently proposed data augmentation technique, att...
Radiographic Image Interpretation, Computer-Assisted Breast Humans Machine Learning Female Contrast Media Breast Neoplasms Mammography Middle Aged
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AI image analysis as the basis for risk-stratified screening.

Japanese journal of radiology Jan 11, 2025
Artificial intelligence (AI) has emerged as a transformative tool in breast cancer screening, with two distinct applications: computer-aided cancer detection (CAD) and risk prediction. While AI CAD systems are slowly finding its way into clinical pra...
Humans Artificial Intelligence Deep Learning Early Detection of Cancer Mammography Breast Female Breast Neoplasms Risk Assessment
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