AIMC Topic: Multimodal Imaging

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Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics.

European radiology experimental Jun 15, 2022
In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of diagnosis and staging, refined surveillance strategies, and introduced specific and personalized radioreceptor therapies. Nuclear medicine, therefore, holds gr...
Quality of Life Image Processing, Computer-Assisted Multimodal Imaging Prostatic Neoplasms Humans Artificial Intelligence Male
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Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57.

Computational intelligence and neuroscience Mar 14, 2022
OBJECTIVE: It aimed to explore the diagnostic efficacy of multimodal ultrasound images based on mask region with convolutional neural network (M-RCNN) segmentation algorithm for small liver cancer and analyze the expression of zeste gene enhancer hom...
Cyclin-Dependent Kinase Inhibitor p57 Enhancer of Zeste Homolog 2 Protein Liver Neoplasms Multimodal Imaging Gene Expression Humans Artificial Intelligence Algorithms
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Technical note: A PET/MR coil with an integrated, orbiting 511 keV transmission source for PET/MR imaging validated in an animal study.

Medical physics Mar 8, 2022
BACKGROUND: MR-based methods for attenuation correction (AC) in PET/MRI either neglect attenuation of bone, or use MR-signal derived information about bone, which leads to a bias in quantification of tracer uptake in PET. In a previous study, we pres...
Multimodal Imaging Positron-Emission Tomography Phantoms, Imaging Swine Image Processing, Computer-Assisted Artificial Intelligence Magnetic Resonance Imaging Animals
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The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis.

European radiology Feb 17, 2022
OBJECTIVES: AI-based algorithms for medical image analysis showed comparable performance to human image readers. However, in practice, diagnoses are made using multiple imaging modalities alongside other data sources. We determined the importance of ...
Algorithms Female Breast Neoplasms Humans Multimodal Imaging Artificial Intelligence Breast
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Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine.

Computational and mathematical methods in medicine Feb 7, 2022
Image fusion can be performed on images either in spatial domain or frequency domain methods. Frequency domain methods will be most preferred because these methods can improve the quality of edges in an image. In image fusion, the resultant fused ima...
Computational Biology Support Vector Machine Early Detection of Cancer Databases, Factual Precision Medicine Brain Neoplasms Image Enhancement Decision Trees Multimodal Imaging Neuroimaging Humans Neural Networks, Computer Machine Learning Algorithms
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Multimodal Imaging of Target Detection Algorithm under Artificial Intelligence in the Diagnosis of Early Breast Cancer.

Journal of healthcare engineering Jan 10, 2022
This study aimed to analyze the diagnostic value of multimodal images based on artificial intelligence target detection algorithms for early breast cancer, so as to provide help for clinical imaging examinations of breast cancer. This article combine...
Humans Artificial Intelligence Algorithms Breast Female Breast Neoplasms Multimodal Imaging
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Classification of Alzheimer's Disease Using Gaussian-Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network.

Computational and mathematical methods in medicine Oct 4, 2021
Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people, and it is often challenging to use traditional manual procedures when diagnosing a disease in the early stages. The successful implementation of machine lear...
Early Diagnosis Neuroimaging Imaging, Three-Dimensional Normal Distribution Humans Case-Control Studies Multimodal Imaging Computational Biology Neural Networks, Computer Deep Learning Bayes Theorem Magnetic Resonance Imaging Cognitive Dysfunction Prognosis Alzheimer Disease
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Point Cloud Hand-Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover.

Sensors (Basel, Switzerland) Aug 23, 2021
This paper presents an application of neural networks operating on multimodal 3D data (3D point cloud, RGB, thermal) to effectively and precisely segment human hands and objects held in hand to realize a safe human-robot object handover. We discuss t...
Humans Algorithms Robotics Robotic Surgical Procedures Imaging, Three-Dimensional Multimodal Imaging
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Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.

Ophthalmology Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Intraocular Pressure Male Middle Aged Multimodal Imaging Area Under Curve ROC Curve Vision Disorders Aged Humans Adult Glaucoma, Open-Angle Visual Fields Machine Learning Cross-Sectional Studies Tomography, Optical Coherence Visual Field Tests Algorithms Optic Nerve Diseases Nerve Fibers Female Retinal Ganglion Cells
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Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images.

Contrast media & molecular imaging Jul 20, 2021
This study aimed to explore the application value of multimodal magnetic resonance imaging (MRI) images based on the deep convolutional neural network (Conv.Net) in the diagnosis of strokes. Specifically, four automatic segmentation algorithms were p...
Humans Neural Networks, Computer Magnetic Resonance Imaging Algorithms Prognosis Stroke Multimodal Imaging Imaging, Three-Dimensional Image Processing, Computer-Assisted
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