AI Medical Compendium Topic:
Image Interpretation, Computer-Assisted

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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...
Diagnosis, Computer-Assisted Humans Liver Cirrhosis Liver Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms
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Artificial intelligence (AI) in diagnostic imaging.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Feb 12, 2024
Humans Artificial Intelligence Diagnostic Imaging Image Interpretation, 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...
Video Recording Humans Image Interpretation, Computer-Assisted Child, Preschool Female Heart Septal Defects, Atrial Echocardiography Child Male Infant Double-Blind Method Deep Learning Adolescent
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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 Humans Lung Neoplasms Carcinoma, Non-Small-Cell Lung Aged Magnetic Resonance Imaging Adult Feasibility Studies Middle Aged Brain Neoplasms Brain Deep Learning Male Retrospective Studies ROC Curve Female
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Deep learning-accelerated T2-weighted imaging versus conventional T2-weighted imaging in the female pelvic cavity: image quality and diagnostic performance.

Acta radiologica (Stockholm, Sweden : 1987) Feb 11, 2024
BACKGROUND: The deep learning (DL)-based reconstruction algorithm reduces noise in magnetic resonance imaging (MRI), thereby enabling faster MRI acquisition.
Humans Magnetic Resonance Imaging Uterus Pelvis Uterine Neoplasms Image Interpretation, Computer-Assisted Leiomyoma Young Adult Adult Middle Aged Deep Learning Retrospective Studies Female Aged
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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 ...
Helicobacter Infections Helicobacter pylori Humans Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Deep Learning
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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...
Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Sensitivity and Specificity Deep Learning Image Interpretation, Computer-Assisted Telangiectasis Humans
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Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.

Virchows Archiv : an international journal of pathology Feb 8, 2024
Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristics, and differential diagnosis can be a dilemma for pathologists. This study aimed to apply deep learning (DL) to analyze whole slide images (WSI) of ...
Young Adult Adult Male Middle Aged Humans Female Reproducibility of Results Predictive Value of Tests Crohn Disease Image Interpretation, Computer-Assisted Tuberculosis, Gastrointestinal Deep Learning Intestines Diagnosis, Differential
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Prospective Comparison of Free-Breathing Accelerated Cine Deep Learning Reconstruction Versus Standard Breath-Hold Cardiac MRI Sequences in Patients With Ischemic Heart Disease.

AJR. American journal of roentgenology Feb 7, 2024
Cine cardiac MRI sequences require repeated breath-holds, which can be difficult for patients with ischemic heart disease (IHD). The purpose of the study was to compare a free-breathing accelerated cine sequence using deep learning (DL) reconstruct...
Aged Image Interpretation, Computer-Assisted Male Myocardial Ischemia Humans Middle Aged Magnetic Resonance Imaging, Cine Breath Holding Deep Learning Prospective Studies Female
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Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs.

Magma (New York, N.Y.) Feb 1, 2024
OBJECTIVE: Increased subcutaneous and visceral adipose tissue (SAT/VAT) volume is associated with risk for cardiometabolic diseases. This work aimed to develop and evaluate automated abdominal SAT/VAT segmentation on longitudinal MRI in adults with o...
Adult Male Middle Aged Imaging, Three-Dimensional Humans Neural Networks, Computer Female Algorithms Reproducibility of Results Overweight Obesity Aged Longitudinal Studies Contrast Media Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Abdominal Fat Intra-Abdominal Fat
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