AIMC Topic: Lung Neoplasms

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MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data.

International journal of computer assisted radiology and surgery Apr 20, 2022
PURPOSE: Medical imaging data of lung cancer in different stages contain a large amount of time information related to its evolution (emergence, development, or extinction). We try to explore the evolution process of lung images in time dimension to ...
Humans Neural Networks, Computer Lung Lung Neoplasms Algorithms Tomography, X-Ray Computed
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3D Kinect Camera Scheme with Time-Series Deep-Learning Algorithms for Classification and Prediction of Lung Tumor Motility.

Sensors (Basel, Switzerland) Apr 11, 2022
This paper proposes a time-series deep-learning 3D Kinect camera scheme to classify the respiratory phases with a lung tumor and predict the lung tumor displacement. Specifically, the proposed scheme is driven by two time-series deep-learning algorit...
Algorithms Deep Learning Humans Phantoms, Imaging Lung Neoplasms Thorax
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Pros and Cons of Applying Deep Learning Automatic Scan-Range Adjustment to Low-Dose Chest CT in Lung Cancer Screening Programs.

Academic radiology Apr 8, 2022
Thorax Humans Lung Neoplasms Early Detection of Cancer Tomography, X-Ray Computed Deep Learning
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Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC.

Frontiers in immunology Apr 7, 2022
BACKGROUND: Programmed death-ligand 1 (PD-L1) assessment of lung cancer in immunohistochemical assays was only approved diagnostic biomarker for immunotherapy. But the tumor proportion score (TPS) of PD-L1 was challenging owing to invasive sampling a...
Lung Neoplasms Algorithms Humans Carcinoma, Non-Small-Cell Lung B7-H1 Antigen Deep Learning Artificial Intelligence
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Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis.

Physics in medicine and biology Apr 1, 2022
4D-CBCT provides phase-resolved images valuable for radiomics analysis for outcome prediction throughout treatment courses. However, 4D-CBCT suffers from streak artifacts caused by under-sampling, which severely degrades the accuracy of radiomic feat...
Deep Learning Cone-Beam Computed Tomography Humans Phantoms, Imaging Four-Dimensional Computed Tomography Spiral Cone-Beam Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms
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Models of Artificial Intelligence-Assisted Diagnosis of Lung Cancer Pathology Based on Deep Learning Algorithms.

Journal of healthcare engineering Mar 26, 2022
In this article, in order to explore the application of a diagnosis system for lung cancer, we use an auxiliary diagnostic system to predict and diagnose the good and evil attributes of chest CT pulmonary nodules. This research improves the new diagn...
Deep Learning Lung Neoplasms Artificial Intelligence Algorithms Humans Neural Networks, Computer
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Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy.

Frontiers in public health Mar 22, 2022
PURPOSE: The purpose of this study was to evaluate the accuracy of a lung stereotactic body radiotherapy (SBRT) treatment plan with the target of a newly predicted internal target volume (ITV) and the feasibility of its clinical application. ITV was ...
Deep Learning Cone-Beam Computed Tomography Radiotherapy Dosage Humans Retrospective Studies Radiosurgery Lung Neoplasms Lung Four-Dimensional Computed Tomography Radiotherapy Planning, Computer-Assisted
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The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.

Computational and mathematical methods in medicine Mar 22, 2022
OBJECTIVE: To explore the value of artificial intelligence (AI) film reading system based on deep learning in the diagnosis of non-small-cell lung cancer (NSCLC) and the significance of curative effect monitoring.
Carcinoma, Non-Small-Cell Lung Humans Artificial Intelligence Deep Learning Lung Neoplasms Retrospective Studies
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Application of Da Vinci Robot and Thoracoscopy in Radical Lung Cancer Surgery.

Journal of healthcare engineering Mar 16, 2022
In this article, we have explored the feasibility and safety of Da Vinci's robotic surgery system in the radical resection of lung cancer. For this purpose, 73 cases of patients with lung cancer who underwent radical resection in the thoracic surgery...
Thoracoscopy Lung Neoplasms Robotics Robotic Surgical Procedures Thoracotomy Female Male Humans
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Deep Learning-based Artificial Intelligence Improves Accuracy of Error-prone Lung Nodules.

International journal of medical sciences Mar 6, 2022
Early detection of lung cancer is one way to improve outcomes. Improving the detection of nodules on chest CT scans is important. Previous artificial intelligence (AI) modules show rapid advantages, which improves the performance of detecting lung n...
Humans Artificial Intelligence Deep Learning Lung Neoplasms Tomography, X-Ray Computed Lung
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