AIMC Topic: Image Interpretation, Computer-Assisted

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A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation.

Computers in biology and medicine Dec 25, 2024
Multimodal data, while being information-rich, contains complementary as well as redundant information. Depending on the target problem some modalities are more informative and thus relevant for decision-making. Identifying the optimal subset of moda...
Databases, Factual Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Ischemic Stroke Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms
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Learnable color space conversion and fusion for stain normalization in pathology images.

Medical image analysis Dec 24, 2024
Variations in hue and contrast are common in H&E-stained pathology images due to differences in slide preparation across various institutions. Such stain variations, while not affecting pathologists much in diagnosing the biopsy, pose significant cha...
Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Staining and Labeling Color
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CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities.

Artificial intelligence in medicine Dec 24, 2024
Modeling Optical Coherence Tomography (OCT) images is crucial for numerous image processing applications and aids ophthalmologists in the early detection of macular abnormalities. Sparse representation-based models, particularly dictionary learning (...
Tomography, Optical Coherence Humans Supervised Machine Learning Algorithms Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Macula Lutea
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Ensemble learning-based radiomics model for discriminating brain metastasis from glioblastoma.

European journal of radiology Dec 24, 2024
OBJECTIVE: Differentiating between brain metastasis (BM) and glioblastoma (GBM) preoperatively is challenging due to their similar imaging features on conventional brain MRI. This study aimed to enhance diagnostic accuracy through a machine learning ...
Ensemble Learning Diagnosis, Differential Glioblastoma Image Interpretation, Computer-Assisted Retrospective Studies Female Reproducibility of Results Brain Neoplasms Aged Adult Humans Male Sensitivity and Specificity Middle Aged Machine Learning Radiomics Magnetic Resonance Imaging
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A feature fusion method based on radiomic features and revised deep features for improving tumor prediction in ultrasound images.

Computers in biology and medicine Dec 24, 2024
BACKGROUND: Radiomic features and deep features are both vitally helpful for the accurate prediction of tumor information in breast ultrasound. However, whether integrating radiomic features and deep features can improve the prediction performance of...
Humans Ultrasonography, Mammary Image Interpretation, Computer-Assisted Radiomics Deep Learning Ultrasonography Neural Networks, Computer ROC Curve Female Breast Neoplasms
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A novel automated method for comprehensive renal cast quantification from rat kidney sections using QuPath.

American journal of physiology. Renal physiology Dec 24, 2024
The presence of tubular casts within the kidney serves as an important feature when assessing the degree of renal injury. Quantification of renal tubular casts has been historically difficult due to varying cast morphologies, protein composition, and...
Animals Male Kidney Rats Machine Learning Software Female Automation Kidney Tubules Rats, Inbred Dahl Rats, Sprague-Dawley Disease Models, Animal Image Interpretation, Computer-Assisted
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Comparison of conventional diffusion-weighted imaging and multiplexed sensitivity-encoding combined with deep learning-based reconstruction in breast magnetic resonance imaging.

Magnetic resonance imaging Dec 21, 2024
PURPOSE: To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-based reconstruction (DLR) for breast imaging in comparison with conventional diffusion-weighted imaging (DWI) and MUSE alone.
Humans Image Processing, Computer-Assisted Breast Feasibility Studies Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Female Adult Reproducibility of Results Breast Neoplasms Aged Middle Aged Deep Learning
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Combination of deep learning reconstruction and quantification for dynamic contrast-enhanced (DCE) MRI.

Magnetic resonance imaging Dec 20, 2024
Dynamic contrast-enhanced (DCE) MRI is an important imaging tool for evaluating tumor vascularity that can lead to improved characterization of tumor extent and heterogeneity, and for early assessment of treatment response. However, clinical adoption...
Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Algorithms Female Deep Learning Humans
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Interactively Fusing Global and Local Features for Benign and Malignant Classification of Breast Ultrasound Images.

Ultrasound in medicine & biology Dec 20, 2024
OBJECTIVE: Breast ultrasound (BUS) is used to classify benign and malignant breast tumors, and its automatic classification can reduce subjectivity. However, current convolutional neural networks (CNNs) face challenges in capturing global features, w...
Deep Learning Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Female Breast Neoplasms
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Principal Component Analysis Area Under Curve Biopsy Image Interpretation, Computer-Assisted Reference Standards Elasticity Imaging Techniques Echo-Planar Imaging Humans Liver Cirrhosis Retrospective Studies Support Vector Machine Female Magnetic Resonance Imaging Middle Aged Aged Liver Severity of Illness Index Adult ROC Curve Male
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