AIMC Topic:
Magnetic Resonance Imaging

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Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists.

Journal of imaging informatics in medicine Feb 21, 2024
Segmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and p...
Image Interpretation, Computer-Assisted Glioma Magnetic Resonance Imaging Radiologists Male Middle Aged Deep Learning Humans Neural Networks, Computer Female Adult Brain Neoplasms
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Segmentation of liver and liver lesions using deep learning.

Physical and engineering sciences in medicine Feb 21, 2024
Segmentation of organs and lesions could be employed for the express purpose of dosimetry in nuclear medicine, assisted image interpretations, and mass image processing studies. Deep leaning created liver and liver lesion segmentation on clinical 3D ...
Humans Female Male Middle Aged Deep Learning Liver Neoplasms Magnetic Resonance Imaging Imaging, Three-Dimensional Liver Image Processing, Computer-Assisted
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Increased brain fractional perfusion in obesity using intravoxel incoherent motion (IVIM) MRI metrics.

Obesity (Silver Spring, Md.) Feb 21, 2024
OBJECTIVE: This research seeks to shed light on the associations between brain perfusion, cognitive function, and mental health in individuals with and without obesity.
Magnetic Resonance Imaging Obesity Perfusion Humans Artificial Intelligence Brain Diffusion Magnetic Resonance Imaging
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Automatic generation of conclusions from neuroradiology MRI reports through natural language processing.

Neuroradiology Feb 21, 2024
PURPOSE: The conclusion section of a radiology report is crucial for summarizing the primary radiological findings in natural language and essential for communicating results to clinicians. However, creating these summaries is time-consuming, repetit...
Retrospective Studies Language Magnetic Resonance Imaging Natural Language Processing Radiology Humans
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Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction.

Magnetic resonance in medicine Feb 20, 2024
PURPOSE: To develop a new electromagnetic interference (EMI) elimination strategy for RF shielding-free MRI via active EMI sensing and deep learning direct MR signal prediction (Deep-DSP).
Signal Processing, Computer-Assisted Phantoms, Imaging Electromagnetic Fields Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Radio Waves Humans Algorithms Brain
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An integrated machine learning-based model for joint diagnosis of ovarian cancer with multiple test indicators.

Journal of ovarian research Feb 20, 2024
OBJECTIVE: To construct a machine learning diagnostic model integrating feature dimensionality reduction techniques and artificial neural network classifiers to develop the value of clinical routine blood indexes for the auxiliary diagnosis of ovaria...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Ovarian Neoplasms Female Reproducibility of Results ROC Curve Neural Networks, Computer Machine Learning Humans
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Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas.

Neuroradiology Feb 19, 2024
PURPOSE: To evaluate the diagnostic value of T1-weighted 3D fast spin-echo sequence (CUBE) with deep learning-based reconstruction (DLR) for depiction of pituitary adenoma and parasellar regions on contrast-enhanced MRI.
Female Aged Adult Humans Retrospective Studies Pituitary Neoplasms Adenoma Image Interpretation, Computer-Assisted Neoplasm, Residual Male Imaging, Three-Dimensional Middle Aged Contrast Media Deep Learning Magnetic Resonance Imaging
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Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.

Journal of applied clinical medical physics Feb 18, 2024
BACKGROUND: Artifacts from implantable cardioverter defibrillators (ICDs) are a challenge to magnetic resonance imaging (MRI)-guided radiotherapy (MRgRT).
Radiotherapy, Image-Guided Defibrillators, Implantable Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Deep Learning Artifacts
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OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment.

Seminars in arthritis and rheumatism Feb 17, 2024
OBJECTIVE: To begin evaluating deep learning (DL)-automated quantification of knee joint effusion-synovitis via the OMERACT filter.
Magnetic Resonance Imaging Male Female Humans Knee Joint Middle Aged Reproducibility of Results Algorithms Osteoarthritis, Knee Aged Deep Learning
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Deep learning algorithm (YOLOv7) for automated renal mass detection on contrast-enhanced MRI: a 2D and 2.5D evaluation of results.

Abdominal radiology (New York) Feb 17, 2024
INTRODUCTION: Accurate diagnosis and treatment of kidney tumors greatly benefit from automated solutions for detection and classification on MRI. In this study, we explore the application of a deep learning algorithm, YOLOv7, for detecting kidney tum...
Random Allocation Kidney Neoplasms Carcinoma, Renal Cell Humans Algorithms Deep Learning Magnetic Resonance Imaging
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