AIMC Topic: Granuloma

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Differentiation of granulomatous nodules with lobulation and spiculation signs from solid lung adenocarcinomas using a CT deep learning model.

BMC cancer Jul 22, 2024
BACKGROUND: The diagnosis of solitary pulmonary nodules has always been a difficult and important point in clinical research, especially granulomatous nodules (GNs) with lobulation and spiculation signs, which are easily misdiagnosed as malignant tum...
Tomography, X-Ray Computed Female Aged Adult Humans Retrospective Studies Solitary Pulmonary Nodule Diagnosis, Differential Granuloma Adenocarcinoma of Lung Male Middle Aged Deep Learning Lung Neoplasms
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Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology Dec 18, 2023
BACKGROUND: The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and gallbladder cancer (GBC) is challenging yet critical. We aimed at utilizing the deep learning (DL)-based approach for differentiating XGC and GBC on ultrasoun...
Xanthomatosis Middle Aged Deep Learning Ultrasonography Aged Diagnosis, Differential Humans Granuloma Adult Prospective Studies Gallbladder Neoplasms Sensitivity and Specificity Female Cholecystitis Male
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Lung Cancer and Granuloma Identification Using a Deep Learning Model to Extract 3-Dimensional Radiomics Features in CT Imaging.

Clinical lung cancer Feb 6, 2021
BACKGROUND: We aimed to evaluate a deep learning (DL) model combining perinodular and intranodular radiomics features and clinical features for preoperative differentiation of solitary granuloma nodules (GNs) from solid lung cancer nodules in patient...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Databases, Factual Retrospective Studies Middle Aged Deep Learning Lung Neoplasms Granuloma Young Adult Adult Male
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Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

European radiology Jun 27, 2020
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (...
Logistic Models Nomograms Age Factors Solitary Pulmonary Nodule Regression Analysis Retrospective Studies Diagnosis, Differential Deep Learning Tomography, X-Ray Computed Granuloma Humans Male ROC Curve Observer Variation Tuberculosis Algorithms Female Image Processing, Computer-Assisted Middle Aged Pattern Recognition, Automated Adult Sex Factors Lung Neoplasms Diagnosis, Computer-Assisted Calibration Diagnostic Tests, Routine Adenocarcinoma of Lung
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Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.

Medical science monitor : international medical journal of experimental and clinical research Jun 18, 2020
BACKGROUND Thyroid nodules are extremely common and typically diagnosed with ultrasound whether benign or malignant. Imaging diagnosis assisted by Artificial Intelligence has attracted much attention in recent years. The aim of our study was to build...
Adenoma Granuloma Carcinoma, Neuroendocrine Image Interpretation, Computer-Assisted Adenocarcinoma, Follicular Thyroid Cancer, Papillary Goiter, Nodular Humans Thyroid Neoplasms Female Middle Aged Ultrasonography Aged Deep Learning Thyroid Nodule Aged, 80 and over Adolescent Thyroid Carcinoma, Anaplastic Young Adult Adult Male
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An immune-inspired swarm aggregation algorithm for self-healing swarm robotic systems.

Bio Systems May 10, 2016
Swarm robotics is concerned with the decentralised coordination of multiple robots having only limited communication and interaction abilities. Although fault tolerance and robustness to individual robot failures have often been used to justify the u...
Robotics Humans Granuloma Models, Immunological Immune System Computer Simulation Chemokines Animals T-Lymphocytes Artificial Intelligence Algorithms Macrophages
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First Case Report Of Anca-Associated Vasculitis And Anthracosis Coexistence.

Journal of Ayub Medical College, Abbottabad : JAMC Jan 1, 2023
Anthracosis is a type of mild pneumoconiosis secondary to harmless carbon dust deposits. Although anthracosis was previously associated with inhaled coal particles, such as coal workers' pneumoconiosis, this hypothesis was later abandoned; pathology ...
Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Coal Humans Granuloma Pneumoconiosis Aged Dust Male Positron Emission Tomography Computed Tomography Anthracosis
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