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Lossy Image Compression in a Preclinical Multimodal Imaging Study
The growing use of multimodal high-resolution volumetric data in pre-clinical studies leads to challenges related to the management and handling of...
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Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD)
Storage and transmission of high-compression 3D radiological images that create high-quality reconstruction upon decompression are critical...
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Four-Dimensional Cone-Beam Computed Tomography Image Compression Using Video Encoder for Radiotherapy
Four dimensional cone-beam computed tomography (4D-CBCT) images were widely used for patient positing and target localization in radiotherapy. As...
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A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment
The near-lossless compression technique has better compression ratio than lossless compression technique while maintaining a maximum error limit for...
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ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging
As the adoption of artificial intelligence (AI) systems in radiology grows, the increase in demand for greater bandwidth and computational resources...
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Reference values of four measures of craniocervical stability using upright dynamic magnetic resonance imaging
PurposeTo establish reference ranges for four most commonly used diagnostic measures of craniocervical instability (CCI) in three cervical sagittal...
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Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application
The role of compression is vital in telemedicine for the storage and transmission of medical images. This work is based on Contextual Vector...
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Robust Medical Diagnosis: A Novel Two-Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images
In the realm of medical diagnostics, the utilization of deep learning techniques, notably in the context of radiology images, has emerged as a...
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A framework for constraining image SNR loss due to MR raw data compression
IntroductionComputationally intensive image reconstruction algorithms can be used online during MRI exams by streaming data to remote...
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Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment
PurposeTo assess the diagnostic accuracy of ChatGPT-4V in interpreting a set of four chest CT slices for each case of COVID-19, non-small cell lung...
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A Comparison of WebRTC and Conventional Videoconferencing for Synchronized Remote Medical Image Presentation
DICOM viewers must fulfill roles beyond primary diagnostic interpretation, including serving as presentation tools in teaching and multidisciplinary...
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Networking Aspects of the Electronic Health Records: Hypertext Transfer Protocol Version 2 (HTTP/2) vs HTTP/3
The rapid development of the digital healthcare and the electronic health records (EHR) requires smooth networking infrastructure to access data...
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Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging
BackgroundThe SI-CURA project ( Soluzioni Innovative per la gestione del paziente e il follow up terapeutico della Colite UlceRosA ) is an Italian...
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Hybrid Convolution Neural Network in Classification of Cancer in Histopathology Images
Cancer statistics in 2020 reveals that breast cancer is the most common form of cancer among women in India. One in 28 women is likely to develop...
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Medical Image Encryption using Biometric Image Texture Fusion
In conjunction with pandemics, medical image data are growing exponentially. In some countries, hospitals collect biometric data from patients, such...
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Design of a Biorthogonal Wavelet Transform Based R-Peak Detection and Data Compression Scheme for Implantable Cardiac Pacemaker Systems
Bradycardia can be modulated using the cardiac pacemaker, an implantable medical device which sets and balances the patient’s cardiac health. The...
