AIMC Topic: Tomography, X-Ray Computed

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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier.

Technology in cancer research & treatment Jan 1, 2024
INTRODUCTION: This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patien...
Neoplasm Grading Adenocarcinoma of Lung Adult Humans Deep Learning Radiomics Retrospective Studies Algorithms ROC Curve Male Tomography, X-Ray Computed Prognosis Lung Neoplasms Middle Aged Female Neoplasm Staging Aged
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Predicting Immune Checkpoint Inhibitor-Related Pneumonitis via Computed Tomography and Whole-Lung Analysis Deep Learning.

Current medical imaging Jan 1, 2024
BACKGROUND: Immune checkpoint inhibitor-related pneumonitis (ICI-P) is a fatal adverse event of immunotherapy. However, there is a lack of methods to identify patients who have a high risk of developing ICI-P in immunotherapy.
Pneumonia Prognosis Tomography, X-Ray Computed Female Aged Humans Deep Learning Adult Immune Checkpoint Inhibitors Male Lung Neoplasms Middle Aged Immunotherapy Lung
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Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics.

Technology in cancer research & treatment Jan 1, 2024
This study aimed to develop an automated classification framework for distinguishing between cervical cancer tumor and normal uterine tissue, leveraging CT images for radiomics feature extraction. We retrospectively analyzed CT images from 117 cervic...
Aged Adult Radiomics Uterine Cervical Neoplasms Middle Aged ROC Curve Image Processing, Computer-Assisted Support Vector Machine Algorithms Retrospective Studies Tomography, X-Ray Computed Female Humans Machine Learning
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Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features.

Technology in cancer research & treatment Jan 1, 2024
PURPOSE: To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomography (CECT) radiomics features and explainable machine learning.
Bone Marrow Bone Marrow Neoplasms Neuroblastoma Retrospective Studies Tomography, X-Ray Computed Male Humans Child Female Infant Machine Learning ROC Curve Radiomics Adolescent Algorithms Support Vector Machine Child, Preschool Contrast Media
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PSAA-nnUNet: An Efficient Method for CT Carotid Artery Image Segmentation.

Advances in experimental medicine and biology Jan 1, 2024
Carotid artery (CA) stenosis (CAS) constitutes a significant factor to ischaemic cerebrovascular events which exhibiting no overt symptoms in the early stages. Early detection of CAS can prevent ischaemic stroke and improve patient prognosis. In this...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Carotid Arteries Computed Tomography Angiography Carotid Stenosis Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.

Therapeutic advances in respiratory disease Jan 1, 2024
The review summarizes the applications of CT and AI algorithms for prognostic models in IPF and procedures of model construction. It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms a...
Idiopathic Pulmonary Fibrosis Predictive Value of Tests Prognosis Tomography, X-Ray Computed Lung Humans Artificial Intelligence Algorithms
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Multimodal Deep Learning Network for Differentiating Between Benign and Malignant Pulmonary Ground Glass Nodules.

Current medical imaging Jan 1, 2024
OBJECTIVE: This study aimed to establish a multimodal deep-learning network model to enhance the diagnosis of benign and malignant pulmonary ground glass nodules (GGNs).
Humans Neural Networks, Computer Adult Male Middle Aged Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Solitary Pulmonary Nodule China Diagnosis, Differential Lung Neoplasms Multiple Pulmonary Nodules
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An Innovative Deep Learning Approach to Spinal Fracture Detection in CT Images.

Annali italiani di chirurgia Jan 1, 2024
AIM: Spinal fractures, particularly vertebral compression fractures, pose a significant challenge in medical imaging due to their small-scale nature and blurred boundaries in Computed Tomography (CT) scans. However, advanced deep learning models, suc...
Deep Learning Spinal Fractures Fractures, Compression Humans Tomography, X-Ray Computed
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Prediction of early-phase cytomegalovirus pneumonia in post-stem cell transplantation using a deep learning model.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Diagnostic challenges exist for CMV pneumonia in post-hematopoietic stem cell transplantation (post-HSCT) patients, despite early-phase radiographic changes.
Cytomegalovirus Infections Hematopoietic Stem Cell Transplantation Pneumonia, Viral Adult Male Middle Aged Deep Learning Humans Neural Networks, Computer COVID-19 Tomography, X-Ray Computed Female
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Reference-free calibration method for asynchronous rotation in robotic CT.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Geometry calibration for robotic CT system is necessary for obtaining acceptable images under the asynchrony of two manipulators.
Robotics Humans Rotation Calibration Phantoms, Imaging Algorithms Computer Simulation Tomography, X-Ray Computed Image Processing, Computer-Assisted
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