AIMC Topic: Breast Diseases
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Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.
Scientific reports
Jan 11, 2021
A major limitation of screening breast ultrasound (US) is a substantial number of false-positive biopsy. This study aimed to develop a deep learning-based computer-aided diagnosis (DL-CAD)-based diagnostic model to improve the differential diagnosis ...
Breast Diseases
Diagnosis, Differential
Ultrasonography, Mammary
Breast
False Positive Reactions
Cohort Studies
Mass Screening
Mammography
Reproducibility of Results
Aged
Aged, 80 and over
Young Adult
Adult
Middle Aged
Diagnosis, Computer-Assisted
Deep Learning
Humans
Software
Retrospective Studies
Female
Evidence of vascular endothelial dysfunction in Wooden Breast disorder in chickens: Insights through gene expression analysis, ultra-structural evaluation and supervised machine learning methods.
PloS one
Jan 4, 2021
Several gene expression studies have been previously conducted to characterize molecular basis of Wooden Breast myopathy in commercial broiler chickens. These studies have generally used a limited sample size and relied on a binary disease outcome (u...
Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Ultrasound in medicine & biology
Feb 12, 2020
To assist radiologists in breast cancer classification in automated breast ultrasound (ABUS) imaging, we propose a computer-aided diagnosis based on a convolutional neural network (CNN) that classifies breast lesions as benign and malignant. The prop...
Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study.
European radiology experimental
Nov 1, 2019
BACKGROUND: Our aims were to determine if features derived from texture analysis (TA) can distinguish normal, benign, and malignant tissue on automated breast ultrasound (ABUS); to evaluate whether machine learning (ML) applied to TA can categorise A...
Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images.
European radiology experimental
Aug 5, 2019
BACKGROUND: The purpose of this work was to evaluate computable Breast Imaging Reporting and Data System (BI-RADS) radiomic features to classify breast masses on ultrasound B-mode images.
Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination.
BioMed research international
Jun 21, 2018
This research aims to address the problem of discriminating benign cysts from malignant masses in breast ultrasound (BUS) images based on Convolutional Neural Networks (CNNs). The biopsy-proven benchmarking dataset was built from 1422 patient cases c...
Evaluating artificial intelligence in decision-making for surgical treatment of benign breast conditions.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Jun 1, 2025
INTRODUCTION: Determining the ideal surgical strategy for breast pathologies can sometimes be challenging, in particular if personalized solutions are required. Moreover, acquiring the necessary expertise takes years. Artificial intelligence (AI) may...
Breast Arterial Calcifications on Mammography: A Review of the Literature.
Journal of breast imaging
May 17, 2025
Identifying systemic disease with medical imaging studies may improve population health outcomes. Although the pathogenesis of peripheral arterial calcification and coronary artery calcification differ, breast arterial calcification (BAC) on mammogra...
Artificial Intelligence-based Software for Breast Arterial Calcification Detection on Mammograms.
Journal of breast imaging
Mar 18, 2025
OBJECTIVE: The performance of a commercially available artificial intelligence (AI)-based software that detects breast arterial calcifications (BACs) on mammograms is presented.
Accuracy of ultrasonic artificial intelligence in diagnosing benign and malignant breast diseases: A protocol for systematic review and meta-analysis.
Medicine
Dec 17, 2021
BACKGROUND: Artificial intelligence system is a deep learning system based on computer-assisted ultrasonic image diagnosis, which can extract morphological features of breast mass and conduct objective and efficient image analysis, thus automatically...
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