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Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography
Under the black-box nature in the deep learning model, it is uncertain how the change in contrast level and format affects the performance. We aimed...
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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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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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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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Noninvasive quantitative ultrasound fatty liver evaluation of hepato-renal index in pediatric patients using 3D-slicer
AimHepato-renal index (HRI) calculated by ultrasound images has been shown to be an effective, noninvasive tool to screen patients with steatosis....
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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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A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey
In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications...
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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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Die Modelltransferierbarkeit von KI in der digitalen Pathologie
ObjectiveArtificial intelligence (AI) holds the potential to make significant advancements in pathology. However, its actual implementation and...
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The montage method improves the classification of suspected acute ischemic stroke using the convolution neural network and brain MRI
This study investigated the usefulness of the montage method that combines four different magnetic resonance images into one images for automatic...
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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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Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study
Appropriate needle manipulation to avoid abrupt deformation of fragile vessels is a critical determinant of the success of microvascular anastomosis....
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Renal secondary hyperparathyroidism should be considered a differential diagnosis in forensic cases where animal abuse is suspected
This case description reports an adult dog with multiple rib fractures that was initially suspected to be the victim of non-accidental trauma, but...
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Implications of ultrasound-based deep learning model for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from hepatocellular carcinoma and intrahepatic cholangiocarcinoma
ObjectivesThe current study developed an ultrasound-based deep learning model to make preoperative differentiation among hepatocellular carcinoma...
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Quantitative assessment of the troCarWash™ system for automated laparoscopic camera cleaning
BackgroundSoilage of the surgical endoscope occurs frequently during minimally invasive surgery. The resultant impairment of visualization of the...
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Survey on electronic visual field data transfer practices among Japan Glaucoma Society board members
BackgroundVisual field (VF) testing in combination with a specialized VF analysis software is critical for characterizing and monitoring visual loss...
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Assessment of Schlemm’s canal with swept-source optical coherence tomography in Graves’ ophthalmopathy
PurposeTo evaluate the Schlemm’s canal (SC) parameters obtained by swept-source optical coherence tomography (OCT) different in Graves’...
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Enhancing Laryngeal Spinocellular Carcinoma Image Security with DCT
This work proposes a novel secret sharing scheme to enhance the security of Laryngeal Spinocellular Carcinoma or Laryngeal Squamous Cell Carcinoma...
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DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
Clinical images are vital for diagnosing and monitoring skin diseases, and their importance has increased with the growing popularity of machine...
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Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images
Middle-ear conditions are common causes of primary care visits, hearing impairment, and inappropriate antibiotic use. Deep learning (DL) may assist...
