AIMC Topic: Image Interpretation, Computer-Assisted

Clear Filters Showing 151 to 160 of 2811 articles

DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

Magnetic resonance imaging Mar 13, 2025
OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic contrast-enhanced MRI (DCE-MRI) can help predict Ki-67 expression level in breast cancer.
Middle Aged Humans Algorithms Deep Learning Retrospective Studies Aged Magnetic Resonance Imaging Contrast Media Ki-67 Antigen Adult Female Breast Neoplasms Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
View on PubMed DOI

Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Echocardiography Machine Learning Severity of Illness Index Prognosis Adolescent Humans Image Interpretation, Computer-Assisted Female Adult Retrospective Studies Ventricular Function, Right Reproducibility of Results Chronic Disease Male Pulmonary Valve Insufficiency Young Adult Predictive Value of Tests Stroke Volume Ventricular Dysfunction, Right
View on PubMed DOI

NaMA-Mamba: Foundation model for generalizable nasal disease detection using masked autoencoder with Mamba on endoscopic images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 12, 2025
Artificial intelligence (AI) has shown great promise in analyzing nasal endoscopic images for disease detection. However, current AI systems require extensive expert-labeled data for each specific medical condition, limiting their applications. In th...
Nose Diseases Endoscopy Image Interpretation, Computer-Assisted Autoencoder Artificial Intelligence Machine Learning Algorithms Humans
View on PubMed DOI

SSAT-Swin: Deep Learning-Based Spinal Ultrasound Feature Segmentation for Scoliosis Using Self-Supervised Swin Transformer.

Ultrasound in medicine & biology Mar 12, 2025
OBJECTIVE: Scoliosis, a 3-D spinal deformity, requires early detection and intervention. Ultrasound curve angle (UCA) measurement using ultrasound images has emerged as a promising diagnostic tool. However, calculating the UCA directly from ultrasoun...
Humans Female Male Deep Learning Adolescent Image Interpretation, Computer-Assisted Scoliosis Child Ultrasonography Spine
View on PubMed DOI

UniSAL: Unified Semi-supervised Active Learning for histopathological image classification.

Medical image analysis Mar 12, 2025
Histopathological image classification using deep learning is crucial for accurate and efficient cancer diagnosis. However, annotating a large amount of histopathological images for training is costly and time-consuming, leading to a scarcity of avai...
Supervised Machine Learning Algorithms Humans Image Interpretation, Computer-Assisted Neoplasms Neural Networks, Computer Deep Learning
View on PubMed DOI

FEGGNN: Feature-Enhanced Gated Graph Neural Network for robust few-shot skin disease classification.

Computers in biology and medicine Mar 9, 2025
Accurate and timely classification of skin diseases is essential for effective dermatological diagnosis. However, the limited availability of annotated images, particularly for rare or novel conditions, poses a significant challenge. Although few-sho...
Image Interpretation, Computer-Assisted Graph Neural Networks Algorithms Diagnosis, Computer-Assisted Skin Diseases Humans Neural Networks, Computer
View on PubMed DOI

Automatic cerebral microbleeds detection from MR images via multi-channel and multi-scale CNNs.

Computers in biology and medicine Mar 7, 2025
BACKGROUND: Computer-aided detection (CAD) systems have been widely used to assist medical professionals in interpreting medical images, aiding in the detection of potential diseases. Despite their usefulness, CAD systems cannot yet fully replace doc...
Cerebral Hemorrhage Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Female Male Deep Learning Magnetic Resonance Imaging Humans
View on PubMed DOI

AI-based association analysis for medical imaging using latent-space geometric confounder correction.

Medical image analysis Mar 6, 2025
This study addresses the challenges of confounding effects and interpretability in artificial-intelligence-based medical image analysis. Whereas existing literature often resolves confounding by removing confounder-related information from latent rep...
Artificial Intelligence Image Interpretation, Computer-Assisted Algorithms Humans Image Processing, Computer-Assisted
View on PubMed DOI

UGS-M3F: unified gated swin transformer with multi-feature fully fusion for retinal blood vessel segmentation.

BMC medical imaging Mar 6, 2025
Automated segmentation of retinal blood vessels in fundus images plays a key role in providing ophthalmologists with critical insights for the non-invasive diagnosis of common eye diseases. Early and precise detection of these conditions is essential...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Fundus Oculi Image Interpretation, Computer-Assisted Retinal Vessels
View on PubMed DOI

D-GET: Group-Enhanced Transformer for Diabetic Retinopathy Severity Classification in Fundus Fluorescein Angiography.

Journal of medical systems Mar 6, 2025
Early detection of Diabetic Retinopathy (DR) is vital for preserving vision and preventing deterioration of eyesight. Fundus Fluorescein Angiography (FFA), recognized as the gold standard for diagnosing DR, effectively reveals abnormalities in retina...
Humans Diabetic Retinopathy Algorithms Image Interpretation, Computer-Assisted Fluorescein Angiography Severity of Illness Index Deep Learning Fundus Oculi
View on PubMed DOI
Popular Topics
Recent Journals