AIMC Journal:
Journal of imaging informatics in medicine

Showing 171 to 180 of 183 articles

Patient Re-Identification Based on Deep Metric Learning in Trunk Computed Tomography Images Acquired from Devices from Different Vendors.

Journal of imaging informatics in medicine Feb 16, 2024
During radiologic interpretation, radiologists read patient identifiers from the metadata of medical images to recognize the patient being examined. However, it is challenging for radiologists to identify "incorrect" metadata and patient identificati...
Metadata Torso Humans Tomography, X-Ray Computed Deep Learning
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Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow.

Journal of imaging informatics in medicine Feb 16, 2024
Curating and integrating data from sources are bottlenecks to procuring robust training datasets for artificial intelligence (AI) models in healthcare. While numerous applications can process discrete types of clinical data, it is still time-consumin...
Artificial Intelligence User-Computer Interface Information Storage and Retrieval Workflow Humans Data Curation
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Accurate Liver Fibrosis Detection Through Hybrid MRMR-BiLSTM-CNN Architecture with Histogram Equalization and Optimization.

Journal of imaging informatics in medicine Feb 13, 2024
The early detection and accurate diagnosis of liver fibrosis, a progressive and potentially serious liver condition, are crucial for effective medical intervention. Invasive methods like biopsies for diagnosis can be risky and expensive. This researc...
Liver Cirrhosis Liver Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted
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Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning.

Journal of imaging informatics in medicine Feb 12, 2024
Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial septal defect (ASD) examination. This paper aims to study a deep learning method b...
Heart Septal Defects, Atrial Double-Blind Method Video Recording Image Interpretation, Computer-Assisted Echocardiography Adolescent Infant Child, Preschool Deep Learning Humans Child Female Male
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Overcoming the Challenge of Accurate Segmentation of Lung Nodules: A Multi-crop CNN Approach.

Journal of imaging informatics in medicine Feb 12, 2024
Lung nodules are generated based on the growth of small and round- or oval-shaped cells in the lung, which are either cancerous or non-cancerous. Accurate segmentation of these nodules is crucial for early detection and diagnosis of lung cancer. Howe...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Lung Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study.

Journal of imaging informatics in medicine Feb 12, 2024
The aim of this study was to investigate the feasibility of deep learning (DL) based on multiparametric MRI to differentiate the pathological subtypes of brain metastasis (BM) in lung cancer patients. This retrospective analysis collected 246 patient...
Image Interpretation, Computer-Assisted Small Cell Lung Carcinoma Carcinoma, Non-Small-Cell Lung Magnetic Resonance Imaging Female Feasibility Studies Aged Deep Learning Adult Brain Neoplasms ROC Curve Humans Male Lung Neoplasms Brain Middle Aged Retrospective Studies
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MOTC: Abdominal Multi-objective Segmentation Model with Parallel Fusion of Global and Local Information.

Journal of imaging informatics in medicine Feb 12, 2024
Convolutional Neural Networks have been widely applied in medical image segmentation. However, the existence of local inductive bias in convolutional operations restricts the modeling of long-term dependencies. The introduction of Transformer enables...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen Humans Neural Networks, Computer Algorithms Databases, Factual
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Inconsistency between Human Observation and Deep Learning Models: Assessing Validity of Postmortem Computed Tomography Diagnosis of Drowning.

Journal of imaging informatics in medicine Feb 9, 2024
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imaging and the on-site information from where the body was found. Previous studies have developed well-performed deep learning (DL) models for drowning d...
Humans Retrospective Studies Tomography, X-Ray Computed Aged, 80 and over Young Adult Adult Female Reproducibility of Results Aged Autopsy Drowning Adolescent Postmortem Imaging Male Child Middle Aged ROC Curve Deep Learning
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Classification of H. pylori Infection from Histopathological Images Using Deep Learning.

Journal of imaging informatics in medicine Feb 8, 2024
Helicobacter pylori (H. pylori) is a widespread pathogenic bacterium, impacting over 4 billion individuals globally. It is primarily linked to gastric diseases, including gastritis, peptic ulcers, and cancer. The current histopathological method for ...
Image Interpretation, Computer-Assisted Deep Learning Helicobacter Infections Helicobacter pylori Humans Reproducibility of Results Sensitivity and Specificity
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Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features.

Journal of imaging informatics in medicine Feb 8, 2024
In recent years, deep learning (DL) has been used extensively and successfully to diagnose different cancers in dermoscopic images. However, most approaches lack clinical inputs supported by dermatologists that could aid in higher accuracy and explai...
Humans Skin Neoplasms Deep Learning Image Interpretation, Computer-Assisted Carcinoma, Basal Cell Telangiectasis Dermoscopy Sensitivity and Specificity
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