AI Medical Compendium Journal:
Journal of imaging informatics in medicine

Showing 121 to 130 of 183 articles

UViT-Seg: An Efficient ViT and U-Net-Based Framework for Accurate Colorectal Polyp Segmentation in Colonoscopy and WCE Images.

Journal of imaging informatics in medicine Apr 26, 2024
Colorectal cancer (CRC) stands out as one of the most prevalent global cancers. The accurate localization of colorectal polyps in endoscopy images is pivotal for timely detection and removal, contributing significantly to CRC prevention. The manual a...
Colonoscopy Algorithms Colorectal Neoplasms Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Colonic Polyps Humans Neural Networks, Computer
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TriConvUNeXt: A Pure CNN-Based Lightweight Symmetrical Network for Biomedical Image Segmentation.

Journal of imaging informatics in medicine Apr 23, 2024
Biomedical image segmentation is essential in clinical practices, offering critical insights for accurate diagnosis and strategic treatment approaches. Nowadays, self-attention-based networks have achieved competitive performance in both natural lang...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification.

Journal of imaging informatics in medicine Apr 23, 2024
Labelling medical images is an arduous and costly task that necessitates clinical expertise and large numbers of qualified images. Insufficient samples can lead to underfitting during training and poor performance of supervised learning models. In th...
Humans Colorectal Neoplasms Supervised Machine Learning Image Interpretation, Computer-Assisted
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Exploring Radiomics Features Based on H&E Images as Potential Biomarkers for Evaluating Muscle Atrophy: A Preliminary Study.

Journal of imaging informatics in medicine Apr 23, 2024
Radiomics features have been widely used as novel biomarkers in the diagnosis of various diseases, but whether radiomics features derived from hematoxylin and eosin (H&E) images can evaluate muscle atrophy has not been studied. Therefore, this study ...
Muscular Atrophy Disease Models, Animal Macaca Animals Support Vector Machine Biomarkers Female Radiomics
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An Intuitionistic Fuzzy C-Means and Local Information-Based DCT Filtering for Fast Brain MRI Segmentation.

Journal of imaging informatics in medicine Apr 22, 2024
Structural and photometric anomalies in the brain magnetic resonance images (MRIs) affect the segmentation performance. Moreover, a sudden change in intensity between two boundaries of the brain tissues makes it prone to data uncertainty, resulting i...
Humans Brain Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Cluster Analysis Fuzzy Logic
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Multimodality Fusion Strategies in Eye Disease Diagnosis.

Journal of imaging informatics in medicine Apr 19, 2024
Multimodality fusion has gained significance in medical applications, particularly in diagnosing challenging diseases like eye diseases, notably diabetic eye diseases that pose risks of vision loss and blindness. Mono-modality eye disease diagnosis p...
Fluorescein Angiography Neural Networks, Computer Multimodal Imaging Image Interpretation, Computer-Assisted Humans Retina Eye Diseases Diabetic Retinopathy
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Synthetic Low-Energy Monochromatic Image Generation in Single-Energy Computed Tomography System Using a Transformer-Based Deep Learning Model.

Journal of imaging informatics in medicine Apr 18, 2024
While dual-energy computed tomography (DECT) technology introduces energy-specific information in clinical practice, single-energy CT (SECT) is predominantly used, limiting the number of people who can benefit from DECT. This study proposed a novel m...
Female Male Image Processing, Computer-Assisted Head and Neck Neoplasms Deep Learning Neural Networks, Computer Tomography, X-Ray Computed Humans
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The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks.

Journal of imaging informatics in medicine Apr 18, 2024
We aimed to develop and validate a deep convolutional neural network (DCNN) model capable of accurately identifying spondylolysis or spondylolisthesis on lateral or dynamic X-ray images. A total of 2449 lumbar lateral and dynamic X-ray images were co...
Female Male Radiography Humans Neural Networks, Computer Lumbar Vertebrae Spondylolisthesis
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Comparison of Machine Learning Models Using Diffusion-Weighted Images for Pathological Grade of Intrahepatic Mass-Forming Cholangiocarcinoma.

Journal of imaging informatics in medicine Apr 16, 2024
Is the radiomic approach, utilizing diffusion-weighted imaging (DWI), capable of predicting the various pathological grades of intrahepatic mass-forming cholangiocarcinoma (IMCC)? Furthermore, which model demonstrates superior performance among the d...
Humans Machine Learning Algorithms Cholangiocarcinoma Diffusion Magnetic Resonance Imaging Middle Aged Support Vector Machine Image Interpretation, Computer-Assisted Bile Duct Neoplasms Neoplasm Grading Retrospective Studies Female Adult Male Aged
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Pure Vision Transformer (CT-ViT) with Noise2Neighbors Interpolation for Low-Dose CT Image Denoising.

Journal of imaging informatics in medicine Apr 15, 2024
Convolutional neural networks (CNN) have been used for a wide variety of deep learning applications, especially in computer vision. For medical image processing, researchers have identified certain challenges associated with CNNs. These challenges en...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning
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