AIMC Topic: Image Interpretation, Computer-Assisted

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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach.

European radiology experimental Jun 14, 2025
OBJECTIVES: To evaluate a deep learning sequence-adaptive liver multiparametric MRI (mpMRI) assessment with validation in different populations using total and segmental T1 and T2 relaxation time maps.
Aged Adult Male Humans Algorithms Female Liver Image Interpretation, Computer-Assisted Multiparametric Magnetic Resonance Imaging Middle Aged Deep Learning Liver Cirrhosis
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Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.

PloS one Jun 9, 2025
Machine learning (ML) classification of myocardial scarring in cardiac MRI is often hindered by limited explainability, particularly with convolutional neural networks (CNNs). To address this, we developed One Match (OM), an algorithm that builds on ...
Heart Image Interpretation, Computer-Assisted Male Middle Aged Convolutional Neural Networks Magnetic Resonance Imaging Cicatrix Myocardium Algorithms Female Humans Aged Neural Networks, Computer Machine Learning
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A method for spatial interpretation of weakly supervised deep learning models in computational pathology.

Scientific reports Jun 5, 2025
Deep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weakly supervised learning of tile-level data is typically applied for tasks where labels only exist on the patient or WSI level (e.g. patient outcomes or...
Humans Female Image Processing, Computer-Assisted Algorithms Breast Neoplasms Supervised Machine Learning Deep Learning Image Interpretation, Computer-Assisted
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Deep learning model applied to real-time delineation of colorectal polyps.

BMC medical informatics and decision making Jun 4, 2025
BACKGROUND: Deep learning models have shown considerable potential to improve diagnostic accuracy across medical fields. Although YOLACT has demonstrated real-time detection and segmentation in non-medical datasets, its application in medical setting...
Humans Colonic Polyps Image Interpretation, Computer-Assisted Colonoscopy Deep Learning
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Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning-Reconstructed Double Inversion Recovery MRI Approach.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: The imaging of inflammatory myelopathies has advanced significantly across time, with MRI techniques playing a pivotal role in enhancing lesion detection. However, the impact of deep learning (DL)-based reconstruction on 3D do...
Male Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Female Adult
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Application research of artificial intelligence software in the analysis of thyroid nodule ultrasound image characteristics.

PloS one Jun 2, 2025
Thyroid nodule, as a common clinical endocrine disease, has become increasingly prevalent worldwide. Ultrasound, as the premier method of thyroid imaging, plays an important role in accurately diagnosing and managing thyroid nodules. However, there i...
Humans Image Processing, Computer-Assisted Artificial Intelligence Image Interpretation, Computer-Assisted Software Middle Aged Female Ultrasonography Adult Thyroid Nodule Male
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Deep learning reconstruction for T2-weighted and contrast-enhanced T1-weighted magnetic resonance enterography imaging in patients with Crohn's disease: Assessment of image quality and clinical utility.

Clinical imaging May 30, 2025
PURPOSE: To investigate the image quality of deep learning-reconstructed T2-weighted half-Fourier single-shot turbo spin echo (DL T2 HASTE) and contrast-enhanced T1-weighted volumetric interpolated breath-hold examination (DL T1 VIBE) of magnetic res...
Retrospective Studies Female Reproducibility of Results Humans Adult Deep Learning Aged Magnetic Resonance Imaging Male Adolescent Young Adult Crohn Disease Contrast Media Middle Aged Image Interpretation, Computer-Assisted
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Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis.

Frontiers in immunology May 29, 2025
INTRODUCTION: The rise in cases of Gastric Cancer has increased in recent times and demands accurate and timely detection to improve patients' well-being. The traditional cancer detection techniques face issues of explainability and precision posing ...
Humans Artificial Intelligence Stomach Neoplasms Deep Learning Image Interpretation, Computer-Assisted
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An orchestration learning framework for ultrasound imaging: Prompt-Guided Hyper-Perception and Attention-Matching Downstream Synchronization.

Medical image analysis May 27, 2025
Ultrasound imaging is pivotal in clinical diagnostics due to its affordability, portability, safety, real-time capability, and non-invasive nature. It is widely utilized for examining various organs, such as the breast, thyroid, ovary, cardiac, and m...
Machine Learning Ultrasonography Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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Efficient few-shot medical image segmentation via self-supervised variational autoencoder.

Medical image analysis May 26, 2025
Few-shot medical image segmentation typically uses a joint model for registration and segmentation. The registration model aligns a labeled atlas with unlabeled images to form initial masks, which are then refined by the segmentation model. However, ...
Magnetic Resonance Imaging Supervised Machine Learning Image Interpretation, Computer-Assisted Autoencoder Humans Algorithms Image Processing, Computer-Assisted
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