AI Medical Compendium Journal:
Journal of imaging informatics in medicine

Showing 71 to 80 of 183 articles

IEA-Net: Internal and External Dual-Attention Medical Segmentation Network with High-Performance Convolutional Blocks.

Journal of imaging informatics in medicine Aug 6, 2024
Currently, deep learning is developing rapidly in the field of image segmentation, and medical image segmentation is one of the key applications in this field. Conventional CNN has achieved great success in general medical image segmentation tasks, b...
Image Processing, Computer-Assisted Algorithms Deep Learning Humans Neural Networks, Computer
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DEAF-Net: Detail-Enhanced Attention Feature Fusion Network for Retinal Vessel Segmentation.

Journal of imaging informatics in medicine Aug 5, 2024
Retinal vessel segmentation is crucial for the diagnosis of ophthalmic and cardiovascular diseases. However, retinal vessels are densely and irregularly distributed, with many capillaries blending into the background, and exhibit low contrast. Moreov...
Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Retinal Vessels Neural Networks, Computer Algorithms
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A Cloud-Based System for Automated AI Image Analysis and Reporting.

Journal of imaging informatics in medicine Jul 31, 2024
Although numerous AI algorithms have been published, the relatively small number of algorithms used clinically is partly due to the difficulty of implementing AI seamlessly into the clinical workflow for radiologists and for their healthcare enterpri...
Image Processing, Computer-Assisted Fatty Liver Workflow Humans Cloud Computing Algorithms Artificial Intelligence Tomography, X-Ray Computed
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AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery.

Journal of imaging informatics in medicine Jul 30, 2024
Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interfaces pose a significant challenge for high-precision radiation therapy modalities like stereotactic radiosurgery, necessitating sub-millimeter accurac...
Neuroma, Acoustic Deep Learning Artifacts Magnetic Resonance Imaging Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted Unsupervised Machine Learning Brain Radiosurgery
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AG-MSTLN-EL: A Multi-source Transfer Learning Approach to Brain Tumor Detection.

Journal of imaging informatics in medicine Jul 26, 2024
The analysis of medical images (MI) is an important part of advanced medicine as it helps detect and diagnose various diseases early. Classifying brain tumors through magnetic resonance imaging (MRI) poses a challenge demanding accurate models for ef...
Reproducibility of Results Brain Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Support Vector Machine Machine Learning Algorithms Humans
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RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study.

Journal of imaging informatics in medicine Jul 24, 2024
Transfer learning (TL) is an alternative approach to the full training of deep learning (DL) models from scratch and can transfer knowledge gained from large-scale data to solve different problems. ImageNet, which is a publicly available large-scale ...
Deep Learning Radiography, Panoramic Adult Male Radiography, Dental Humans Female Datasets as Topic
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A Boundary-Enhanced Decouple Fusion Segmentation Network for Diagnosis of Adenomatous Polyps.

Journal of imaging informatics in medicine Jul 22, 2024
Adenomatous polyps, a common premalignant lesion, are often classified into villous adenoma (VA) and tubular adenoma (TA). VA has a higher risk of malignancy, whereas TA typically grows slowly and has a lower likelihood of cancerous transformation. A...
Image Interpretation, Computer-Assisted Adenomatous Polyps Colonoscopy Deep Learning Humans
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The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach.

Journal of imaging informatics in medicine Jul 19, 2024
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by a reduced attention span, hyperactivity, and impulsive behaviors, which typically manifest during childhood. This study employs functional magnetic reso...
Deep Learning Adolescent Female Male Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity Child Imaging, Three-Dimensional Humans Neural Networks, Computer Databases, Factual Brain
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Policy Learning for Actively Labeled Sample Selection on Lumbar Semi-supervised Classification.

Journal of imaging informatics in medicine Jul 17, 2024
Large labeled data bring significant performance improvement, but acquiring labeled medical data is particularly challenging due to the laborious, time-consuming, and medically qualified annotation. Semi-supervised learning has been employed to lever...
Humans Supervised Machine Learning Intervertebral Disc Displacement Magnetic Resonance Imaging Lumbar Vertebrae
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Enhanced Domain Adaptation for Foot Ulcer Segmentation Through Mixing Self-Trained Weak Labels.

Journal of imaging informatics in medicine Jul 17, 2024
Wound management requires the measurement of the wound parameters such as its shape and area. However, computerized analysis of the wound suffers the challenge of inexact segmentation of the wound images due to limited or inaccurate labels. It is a c...
Humans Neural Networks, Computer Image Interpretation, Computer-Assisted
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