AI Medical Compendium Journal:
Journal of imaging informatics in medicine

Showing 101 to 110 of 183 articles

RDLR: A Robust Deep Learning-Based Image Registration Method for Pediatric Retinal Images.

Journal of imaging informatics in medicine Jun 14, 2024
Retinal diseases stand as a primary cause of childhood blindness. Analyzing the progression of these diseases requires close attention to lesion morphology and spatial information. Standard image registration methods fail to accurately reconstruct pe...
Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Retinal Diseases Humans Child, Preschool Fundus Oculi Child Retina Reproducibility of Results Infant
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Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability.

Journal of imaging informatics in medicine Jun 13, 2024
The majority of deep learning models in medical image analysis concentrate on single snapshot timepoint circumstances, such as the identification of current pathology on a given image or volume. This is often in contrast to the diagnostic methodology...
Male Image Interpretation, Computer-Assisted Disease Progression Humans Deep Learning Time Factors Neural Networks, Computer Magnetic Resonance Imaging Multiple Sclerosis Female Adult
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Streamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.

Journal of imaging informatics in medicine Jun 12, 2024
Life-threatening acute aortic dissection (AD) demands timely diagnosis for effective intervention. To streamline intrahospital workflows, automated detection of AD in abdominal computed tomography (CT) scans seems useful to assist humans. We aimed at...
ROC Curve Humans Aortic Aneurysm, Abdominal Neural Networks, Computer Workflow Algorithms Retrospective Studies Aged Tomography, X-Ray Computed Male Female Aortic Dissection Middle Aged Dissection, Abdominal Aorta
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Deep Learning Model for Automatic Identification and Classification of Distal Radius Fracture.

Journal of imaging informatics in medicine Jun 11, 2024
Distal radius fracture (DRF) is one of the most common types of wrist fractures. We aimed to construct a model for the automatic segmentation of wrist radiographs using a deep learning approach and further perform automatic identification and classif...
Humans Female Middle Aged Radius Fractures Wrist Fractures Deep Learning Aged Adult Radiography Male
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Histological Subtype Classification of Non-Small Cell Lung Cancer with Radiomics and 3D Convolutional Neural Networks.

Journal of imaging informatics in medicine Jun 11, 2024
Non-small cell lung carcinoma (NSCLC) is the most common type of pulmonary cancer, one of the deadliest malignant tumors worldwide. Given the increased emphasis on the precise management of lung cancer, identifying various subtypes of NSCLC has becom...
Humans Imaging, Three-Dimensional Radiomics Lung Neoplasms Deep Learning Neural Networks, Computer Carcinoma, Non-Small-Cell Lung Tomography, X-Ray Computed
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Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images.

Journal of imaging informatics in medicine Jun 11, 2024
This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes of early-stage lung adenocarcinoma by integrating residual network (ResNet) with Vision Transformer (ViT). A total of 1411 pathologically confirmed gr...
Adenocarcinoma of Lung Tomography, X-Ray Computed Female Male Image Processing, Computer-Assisted Lung Neoplasms Middle Aged Humans Deep Learning Computer Simulation Retrospective Studies
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Report of the HIMSS-SIIM Enterprise Imaging Community Data Standards Evaluation Workgroup: Anatomic Ontology Assessment.

Journal of imaging informatics in medicine Jun 10, 2024
Previously, the lack of a standard body part ontology has been identified as a critical deficiency needed to enable enterprise imaging. This whitepaper aims to provide a comprehensive assessment of anatomical ontologies with the aim of facilitating e...
Medical Informatics Systematized Nomenclature of Medicine Biological Ontologies Humans Diagnostic Imaging Terminology as Topic Anatomy
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Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images.

Journal of imaging informatics in medicine Jun 10, 2024
To develop a robust segmentation model, encoding the underlying features/structures of the input data is essential to discriminate the target structure from the background. To enrich the extracted feature maps, contrastive learning and self-learning ...
Tomography, X-Ray Computed Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Semantics Kidney Magnetic Resonance Imaging Hippocampus
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Identification of Prolactinoma in Pituitary Neuroendocrine Tumors Using Radiomics Analysis Based on Multiparameter MRI.

Journal of imaging informatics in medicine Jun 6, 2024
This study aims to investigate the feasibility of preoperatively predicting histological subtypes of pituitary neuroendocrine tumors (PitNETs) using machine learning and radiomics based on multiparameter MRI. Patients with PitNETs from January 2016 t...
Prolactinoma Neuroendocrine Tumors Retrospective Studies Nomograms Humans Female Magnetic Resonance Imaging Adult Machine Learning Pituitary Neoplasms Middle Aged Radiomics ROC Curve Male
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MedYOLO: A Medical Image Object Detection Framework.

Journal of imaging informatics in medicine Jun 6, 2024
Artificial intelligence-enhanced identification of organs, lesions, and other structures in medical imaging is typically done using convolutional neural networks (CNNs) designed to make voxel-accurate segmentations of the region of interest. However,...
Humans Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Heart Neural Networks, Computer Artificial Intelligence Algorithms
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