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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities
Published 2025-04-01Subjects: “…Medical image preprocessing…”
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints
Published 2025-01-01“…Abstract Accurately extracting organs from medical images provides radiologist with more comprehensive evidences to clinical diagnose, which offers up a higher accuracy and efficiency. …”
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Secure medical image transmission for healthcare applications using cooperative relaying based on physical layer security
Published 2024-09-01“…Considering that in medical images, most of the experts' emphasis is on the part of the image that shows the disease, in this article, the image is first divided into two parts namely, main and background parts, and then the transmitter estimats regarding the capacity of legal and non-legal channels. …”
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Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images
Published 2017-01-01“…Characterization and individual trait analysis of the focal liver lesions (FLL) is a challenging task in medical image processing and clinical site. The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts’ analysis, which can be achieved by content-based medical image retrieval (CBMIR). …”
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EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning
Published 2025-01-01Subjects: “…Medical imaging…”
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66
An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy
Published 2025-01-01Subjects: “…Medical image…”
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Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks
Published 2022-01-01“…Biomedical research and medical image analysis highly demand medical image fusion to perform higher level of medical analysis. …”
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69
Beyond high hopes: A scoping review of the 2019-2021 scientific discourse on machine learning in medical imaging.
Published 2023-01-01“…We conducted a scoping review on machine learning in medical imaging, providing a comprehensive outlook of the field's potential, limitations, and future directions. …”
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Secured DICOM medical image transition with optimized chaos method for encryption and customized deep learning model for watermarking
Published 2025-04-01“…The fields of telemedicine and aided medical diagnostics are benefiting greatly from medical imaging. For healthcare professionals to view patient medical images, a secure online transmitting technique is essential. …”
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A dynamic model of CT scans for quantifying doubling time of ground glass opacities using histogram analysis
Published 2018-09-01Subjects: “…medical imaging…”
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FUZZY GROUPOIDS VERSUS LEFT INVARIANT FUZZY EQUIVALENCE RELATIONS
Published 2023-05-01Subjects: Get full text
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A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis
Published 2025-01-01Subjects: Get full text
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Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal
Published 2025-01-01Subjects: “…medical imaging…”
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Beware of diffusion models for synthesizing medical images—a comparison with GANs in terms of memorizing brain MRI and chest x-ray images
Published 2025-01-01“…Researchers should be careful when using diffusion models (and to some extent GANs) for medical imaging, if the final goal is to share the synthetic images.…”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net
Published 2025-02-01“…After realizing automatic segmentation and 3D reconstruction of osteosarcoma by optimizing feature extraction and improving target space clustering capabilities, we built a mixed reality (MR) infrastructure and explored the application prospects of the infrastructure combining deep learning-based medical image segmentation and mixed reality in the diagnosis and treatment of bone tumors. …”
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A Framework for Promoting Passive Breast Cancer Monitoring: Deep Learning as an Interpretation Tool for Breast Thermograms
Published 2024-07-01Subjects: Get full text
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Three-dimensional histological imaging of primate brain and correlation with in vivo medical device images
Published 2011-02-01Subjects: Get full text
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