AIMC Topic: Lung Neoplasms

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A bilinear convolutional neural network for lung nodules classification on CT images.

International journal of computer assisted radiology and surgery Nov 2, 2020
PURPOSE: Lung cancer is the most frequent cancer worldwide and is the leading cause of cancer-related deaths. Its early detection and treatment at the stage of a lung nodule improve the prognosis. In this study was proposed a new classification appro...
Humans Diagnosis, Computer-Assisted Lung Neoplasms Support Vector Machine Solitary Pulmonary Nodule Neural Networks, Computer Tomography, X-Ray Computed Lung
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The detection of lung cancer using massive artificial neural network based on soft tissue technique.

BMC medical informatics and decision making Oct 31, 2020
BACKGROUND: A proposed computer aided detection (CAD) scheme faces major issues during subtle nodule recognition. However, radiologists have not noticed subtle nodules in beginning stage of lung cancer while a proposed CAD scheme recognizes non subtl...
Tomography, X-Ray Computed Sensitivity and Specificity Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Lung Lung Neoplasms Solitary Pulmonary Nodule
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Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.

European radiology Oct 30, 2020
OBJECTIVES: To develop and validate a preoperative CT-based deep learning model for the prediction of visceral pleural invasion (VPI) in early-stage lung cancer.
Retrospective Studies Humans Radiologists Deep Learning Tomography, X-Ray Computed Lung Neoplasms Sensitivity and Specificity
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Using deep learning to model the biological dose prediction on bulky lung cancer patients of partial stereotactic ablation radiotherapy.

Medical physics Oct 26, 2020
PURPOSE: To develop a biological dose prediction model considering tissue bio-reactions in addition to patient anatomy for achieving a more comprehensive evaluation of tumor control and promoting the automatic planning of bulky lung cancer.
Radiotherapy, Intensity-Modulated Radiosurgery Deep Learning Humans Organs at Risk Lung Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Nature communications Oct 16, 2020
Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase inhibitors, TKIs, and immune checkpoint inhibitors, ICIs. The choice of strategy is based on heterogeneous biomarkers that can dynamically change during...
Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Mutation Protein Kinase Inhibitors Progression-Free Survival ErbB Receptors Middle Aged Deep Learning Lung Neoplasms Female Aged Male Humans
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A preliminary study of a photon dose calculation algorithm using a convolutional neural network.

Physics in medicine and biology Oct 16, 2020
The aim of dose calculation algorithm research is to improve the calculation accuracy while maximizing the calculation efficiency. In this study, the three-dimensional distribution of total energy release per unit mass (TERMA) and the electron densit...
Lung Neoplasms Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Algorithms Tomography, X-Ray Computed Radiotherapy Dosage Monte Carlo Method Photons Humans
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Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.

AJR. American journal of roentgenology Oct 14, 2020
The objective of our study was to assess the effect of the combination of deep learning-based denoising (DLD) and iterative reconstruction (IR) on image quality and Lung Imaging Reporting and Data System (Lung-RADS) evaluation on chest ultra-low-dos...
Humans Retrospective Studies Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Artifacts Radiation Dosage Radiography, Thoracic Middle Aged Deep Learning Lung Neoplasms Aged Adult Male
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Verification of the machine delivery parameters of a treatment plan via deep learning.

Physics in medicine and biology Sep 30, 2020
We developed a generative adversarial network (GAN)-based deep learning approach to estimate the multileaf collimator (MLC) aperture and corresponding monitor units (MUs) from a given 3D dose distribution. The proposed design of the adversarial netwo...
Radiotherapy, Intensity-Modulated Deep Learning Phantoms, Imaging Lung Neoplasms Humans Nasopharyngeal Neoplasms Rectal Neoplasms Reproducibility of Results Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy.

Physics in medicine and biology Sep 28, 2020
We propose a multi-view data analysis approach using radiomics and dosiomics (R&D) texture features for predicting acute-phase weight loss (WL) in lung cancer radiotherapy. Baseline weight of 388 patients who underwent intensity modulated radiation t...
Radiographic Image Interpretation, Computer-Assisted Radiotherapy, Intensity-Modulated Acute-Phase Reaction Middle Aged Weight Loss Lung Neoplasms Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Adult Humans Female Male Machine Learning Aged Algorithms
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Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.

Radiology Sep 22, 2020
Radiography Lung Neoplasms Thorax Humans Mass Screening Health Lung Early Detection of Cancer Deep Learning
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