AIMC Topic: Mammography
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Increasing transparency of computer-aided detection impairs decision-making in visual search.
Psychonomic bulletin & review
Oct 24, 2024
Recent developments in artificial intelligence (AI) have led to changes in healthcare. Government and regulatory bodies have advocated the need for transparency in AI systems with recommendations to provide users with more details about AI accuracy a...
Deep-AutoMO: Deep automated multiobjective neural network for trustworthy lesion malignancy diagnosis in the early stage via digital breast tomosynthesis.
Computers in biology and medicine
Oct 23, 2024
Breast cancer is the most prevalent cancer in women, and early diagnosis of malignant lesions is crucial for developing treatment plans. Digital breast tomosynthesis (DBT) has emerged as a valuable tool for early breast cancer detection, as it can id...
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.
Journal of imaging informatics in medicine
Oct 15, 2024
This study aims to investigate whether global mammographic radiomic features (GMRFs) can distinguish hardest- from easiest-to-interpret normal cases for radiology trainees (RTs). Data from 137 RTs were analysed, with each interpreting seven education...
A systematic scoping review exploring variation in practice in specimen mammography for Intraoperative Margin Analysis in Breast Conserving Surgery and the role of artificial intelligence in optimising diagnostic accuracy.
European journal of radiology
Oct 9, 2024
PURPOSE: Specimen Mammography (SM) is commonly used in Breast Conserving Surgery (BCS) for intraoperative margin analysis. A systematic scoping review was conducted to identify sources of methodological variation in Specimen Mammography Interpretatio...
Breast tumor segmentation using neural cellular automata and shape guided segmentation in mammography images.
PloS one
Oct 1, 2024
PURPOSE: Using computer-aided design (CAD) systems, this research endeavors to enhance breast cancer segmentation by addressing data insufficiency and data complexity during model training. As perceived by computer vision models, the inherent symmetr...
Detection of breast cancer in digital breast tomosynthesis with vision transformers.
Scientific reports
Sep 27, 2024
Digital Breast Tomosynthesis (DBT) has revolutionized more traditional breast imaging through its three-dimensional (3D) visualization capability that significantly enhances lesion discernibility, reduces tissue overlap, and improves diagnostic preci...
Uncertainty Estimation for Dual View X-ray Mammographic Image Registration Using Deep Ensembles.
Journal of imaging informatics in medicine
Sep 23, 2024
Techniques are developed for generating uncertainty estimates for convolutional neural network (CNN)-based methods for registering the locations of lesions between the craniocaudal (CC) and mediolateral oblique (MLO) mammographic X-ray image views. M...
AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis.
Breast (Edinburgh, Scotland)
Sep 19, 2024
PURPOSE: To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosynthesis (DBT), DM combined DBT with AI-based strategies for breast mass ≤ 2 cm.
Current status and prospects of breast cancer imaging-based diagnosis using artificial intelligence.
International journal of clinical oncology
Sep 19, 2024
Breast imaging has several modalities, each unique in terms of its imaging position, evaluation index, and imaging method. Breast diagnosis is made by combining a large number of past imaging features with the clinical course and histological finding...
An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis.
Radiological physics and technology
Sep 16, 2024
Current imaging methods for diagnosing breast cancer (BC) are associated with limited sensitivity and specificity and modest positive predictive power. The recent progress in image analysis using artificial intelligence (AI) has created great promise...
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