AIMC Topic: Tomography, X-Ray Computed

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Pattern classification of interstitial lung diseases from computed tomography images using a ResNet-based network with a split-transform-merge strategy and split attention.

Physical and engineering sciences in medicine Mar 4, 2024
In patients with interstitial lung disease (ILD), accurate pattern assessment from their computed tomography (CT) images could help track lung abnormalities and evaluate treatment efficacy. Based on excellent image classification performance, convolu...
Lung Diseases, Interstitial Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Advanced hybrid attention-based deep learning network with heuristic algorithm for adaptive CT and PET image fusion in lung cancer detection.

Medical engineering & physics Mar 4, 2024
Lung cancer is one of the most deadly diseases in the world. Lung cancer detection can save the patient's life. Despite being the best imaging tool in the medical sector, clinicians find it challenging to interpret and detect cancer from Computed Tom...
Lung Neoplasms Humans Heuristics Algorithms Positron-Emission Tomography Tomography, X-Ray Computed Deep Learning
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Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model.

Abdominal radiology (New York) Mar 3, 2024
PURPOSE: To investigate the value of a multimodal deep learning (MDL) model based on computed tomography (CT) and magnetic resonance imaging (MRI) for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC).
Humans Retrospective Studies Tomography, X-Ray Computed Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Female Aged Adult Male Magnetic Resonance Imaging Predictive Value of Tests Neoplasm Invasiveness Microvessels Multimodal Imaging
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Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional Study.

International journal of radiation oncology, biology, physics Mar 2, 2024
PURPOSE: To develop and externally validate an automatic artificial intelligence (AI) tool for delineating gross tumor volume (GTV) in patients with esophageal squamous cell carcinoma (ESCC), which can assist in neo-adjuvant or radical radiation ther...
Esophageal Squamous Cell Carcinoma Esophageal Neoplasms Radiotherapy Planning, Computer-Assisted Tumor Burden Tomography, X-Ray Computed Female Male Aged Adult Humans Middle Aged Retrospective Studies Deep Learning Contrast Media
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LGDNet: local feature coupling global representations network for pulmonary nodules detection.

Medical & biological engineering & computing Mar 2, 2024
Detection of suspicious pulmonary nodules from lung CT scans is a crucial task in computer-aided diagnosis (CAD) systems. In recent years, various deep learning-based approaches have been proposed and demonstrated significant potential for addressing...
Humans Neural Networks, Computer Algorithms Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Lung Diagnosis, Computer-Assisted Deep Learning
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Advancements in Uric Acid Stone Detection: Integrating Deep Learning with CT Imaging and Clinical Assessments in the Upper Urinary Tract.

Urologia internationalis Mar 2, 2024
INTRODUCTION: Among upper urinary tract stones, a significant proportion comprises uric acid stones. The aim of this study was to use machine learning techniques to analyze CT scans and blood and urine test data, with the aim of establishing multiple...
Middle Aged Deep Learning Uric Acid Kidney Calculi Ureteral Calculi Female Aged Adult Male Humans Retrospective Studies Tomography, X-Ray Computed
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Telemedicine-Enhanced Lung Cancer Screening Using Mobile Computed Tomography Unit with Remote Artificial Intelligence Assistance in Underserved Communities: Initial Results of a Population Cohort Study in Western China.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Mar 1, 2024
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Mobile Health Units Early Detection of Cancer Telemedicine Medically Underserved Area Middle Aged Artificial Intelligence Humans Vulnerable Populations Retrospective Studies Aged China Tomography, X-Ray Computed Aged, 80 and over Lung Neoplasms Female Adult Male
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Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn's Disease and Intestinal Tuberculosis.

Journal of imaging informatics in medicine Feb 29, 2024
This study aimed to develop and evaluate a CT-based deep learning radiomics model for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB). A total of 330 patients with pathologically confirmed as CD or ITB from the First Af...
Diagnosis, Differential Crohn Disease Tuberculosis, Gastrointestinal Radiomics Humans Male Retrospective Studies Middle Aged Female Tomography, X-Ray Computed Deep Learning Young Adult Adult
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A Hybrid Framework of Dual-Domain Signal Restoration and Multi-depth Feature Reinforcement for Low-Dose Lung CT Denoising.

Journal of imaging informatics in medicine Feb 29, 2024
Low-dose computer tomography (LDCT) has been widely used in medical diagnosis. Various denoising methods have been presented to remove noise in LDCT scans. However, existing methods cannot achieve satisfactory results due to the difficulties in (1) d...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio
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Improving Image Quality and Nodule Characterization in Ultra-low-dose Lung CT with Deep Learning Image Reconstruction.

Academic radiology Feb 29, 2024
RATIONALE AND OBJECTIVE: To investigate the influence of the deep learning image reconstruction (DLIR) on the image quality and quantitative analysis of pulmonary nodules under ultra-low dose lung CT conditions.
Adult Male Humans Radiation Dosage Tomography, X-Ray Computed Prospective Studies Middle Aged Female Lung Neoplasms Deep Learning Aged Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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