AIMC Topic: Lung Neoplasms

Clear Filters Showing 941 to 950 of 1629 articles

Robotic Pneumonectomy for Lung Cancer: Perioperative Outcomes and Factors Leading to Conversion to Thoracotomy.

Innovations (Philadelphia, Pa.) Jan 15, 2021
OBJECTIVE: In the tide of robot-assisted minimally invasive surgery, few cases of robot-assisted pneumonectomy exist in the literature. This study evaluates the perioperative outcomes and risk factors for conversion to thoracotomy with an initial rob...
Robotic Surgical Procedures Pneumonectomy Thoracic Surgery, Video-Assisted Thoracotomy Lung Neoplasms Treatment Outcome Robotics Humans Retrospective Studies
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Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification.

International journal of computer assisted radiology and surgery Jan 11, 2021
PURPOSE: In recent years, convolutional neural network (CNN), an artificial intelligence technology with superior image recognition, has become increasingly popular and frequently used for classification tasks in medical imaging. However, the amount ...
Image Processing, Computer-Assisted Lung Neoplasms Radiography, Thoracic Artificial Intelligence Tomography, X-Ray Computed Lung Humans Neural Networks, Computer
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Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.

European journal of radiology Jan 8, 2021
PURPOSE: To study the effect of different reconstruction parameter settings on the performance of a commercially available deep learning based pulmonary nodule CAD system.
Radiation Dosage Tomography, X-Ray Computed Sensitivity and Specificity Lung Solitary Pulmonary Nodule Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Algorithms Retrospective Studies
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3D multi-scale deep convolutional neural networks for pulmonary nodule detection.

PloS one Jan 7, 2021
With the rapid development of big data and artificial intelligence technology, computer-aided pulmonary nodule detection based on deep learning has achieved some successes. However, the sizes of pulmonary nodules vary greatly, and the pulmonary nodul...
Imaging, Three-Dimensional Lung Neoplasms False Positive Reactions Humans Tomography, X-Ray Computed Deep Learning
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Lung cancer histology classification from CT images based on radiomics and deep learning models.

Medical & biological engineering & computing Jan 7, 2021
Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are frequent reported cases of non-small cell lung cancer (NSCLC), responsible for a large fraction of cancer deaths worldwide. In this study, we aim to investigate the potential of NSCLC histolog...
Humans Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
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Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.

Theranostics Jan 1, 2021
This study aimed to use computed tomography (CT) images to assess PD-L1 expression in non-small cell lung cancer (NSCLC) and predict response to immunotherapy. We retrospectively analyzed a PD-L1 expression dataset that consisted of 939 consecutive...
Aged Male Middle Aged Retrospective Studies Deep Learning B7-H1 Antigen Humans Tomography, X-Ray Computed Immune Checkpoint Inhibitors Immunotherapy Lung Neoplasms Female Carcinoma, Non-Small-Cell Lung
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Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.

Theranostics Jan 1, 2021
Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous cell carcinoma (LUSC) but it is still a "one-size fits all" approach. Here, we aimed to investigate the predictive and monitoring role of circulating c...
Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Cell-Free Nucleic Acids Machine Learning Prognosis Humans Male DNA Copy Number Variations Carcinoma, Squamous Cell Female Progression-Free Survival Middle Aged Cisplatin Gemcitabine Aged Deoxycytidine Lung Neoplasms Paclitaxel Survival Rate Circulating Tumor DNA
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Lung cancer survival period prediction and understanding: Deep learning approaches.

International journal of medical informatics Dec 29, 2020
INTRODUCTION: Survival period prediction through early diagnosis of cancer has many benefits. It allows both patients and caregivers to plan resources, time and intensity of care to provide the best possible treatment path for the patients. In this p...
Deep Learning Lung Neoplasms Humans Registries Neural Networks, Computer Machine Learning
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Network-based drug sensitivity prediction.

BMC medical genomics Dec 28, 2020
BACKGROUND: Drug sensitivity prediction and drug responsive biomarker selection on high-throughput genomic data is a critical step in drug discovery. Many computational methods have been developed to serve this purpose including several deep neural n...
Lung Neoplasms Computational Biology Gene Expression Regulation, Neoplastic Gene Expression Profiling Humans Carcinoma, Non-Small-Cell Lung Prognosis Deep Learning Neural Networks, Computer Gene Regulatory Networks Biomarkers, Tumor Software Antineoplastic Agents
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Beyond the : "Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model".

AJR. American journal of roentgenology Dec 23, 2020
Early Detection of Cancer Smokers Deep Learning Humans Lung Neoplasms Tomography, X-Ray Computed Mass Screening
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