AIMC Topic: Lung Neoplasms

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Deep reinforcement learning for automated radiation adaptation in lung cancer.

Medical physics Nov 14, 2017
PURPOSE: To investigate deep reinforcement learning (DRL) based on historical treatment plans for developing automated radiation adaptation protocols for nonsmall cell lung cancer (NSCLC) patients that aim to maximize tumor local control at reduced r...
Neural Networks, Computer Lung Neoplasms Automation
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Radiomics and radiogenomics in lung cancer: A review for the clinician.

Lung cancer (Amsterdam, Netherlands) Nov 8, 2017
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with delayed detection being perhaps the most significant factor for its high mortality rate. Though the National Lung Screening Trial argues for screening o...
Animals Reference Standards Algorithms Lung Humans Prognosis Lung Neoplasms Image Processing, Computer-Assisted Software Tomography, X-Ray Computed Early Detection of Cancer Diagnostic Imaging
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To robot or not to robot: Is that really the question?

The Journal of thoracic and cardiovascular surgery Nov 7, 2017
Humans Lung Neoplasms Carcinoma, Non-Small-Cell Lung Robotics Robotic Surgical Procedures
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Design and application of tumor prediction model based on statistical method.

Computer assisted surgery (Abingdon, England) Oct 16, 2017
Two prediction models for tumor prediction based on logistic regression and BP neural network were proposed in this paper; a sensitivity analysis of risk factors was also conducted. The two protocols will be implemented in the R language and demonstr...
Female Male Risk Assessment Humans Neural Networks, Computer Logistic Models Models, Statistical Predictive Value of Tests Neoplasms ROC Curve Lung Neoplasms
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A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

Acta oncologica (Stockholm, Sweden) Oct 14, 2017
BACKGROUND: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction of patients at risk for early mortality is crucial to avoid unnecessary harm and reducing costs. The goal of our work is two-fold: first, to evaluate ...
Humans Machine Learning Prognosis ROC Curve Chemoradiotherapy Lung Neoplasms Treatment Outcome Carcinoma, Non-Small-Cell Lung Models, Statistical Area Under Curve
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Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

IEEE transactions on medical imaging Sep 27, 2017
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. However, lacking the capability to represent local characteristics of interested structures of the LdCT ...
Principal Component Analysis Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Lung Humans Imaging, Three-Dimensional Machine Learning Lung Neoplasms Algorithms Databases, Factual Tomography, X-Ray Computed
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Prediction of lung cancer patient survival via supervised machine learning classification techniques.

International journal of medical informatics Sep 25, 2017
Outcomes for cancer patients have been previously estimated by applying various machine learning techniques to large datasets such as the Surveillance, Epidemiology, and End Results (SEER) program database. In particular for lung cancer, it is not we...
Humans Machine Learning Databases, Factual Survival Rate Lung Neoplasms Support Vector Machine
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If your hospital has RATS, do not exterminate.

The Journal of thoracic and cardiovascular surgery Sep 23, 2017
Carcinoma, Non-Small-Cell Lung Robotics Robotic Surgical Procedures Humans Hospitals Lung Neoplasms
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Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 23, 2017
The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques, i.e., fuzzy-c-means clustering method (FCM), and the artificial neural network (ANN) and support vector machine (SVM), on an automated framework for ...
Pattern Recognition, Automated Machine Learning Fluorodeoxyglucose F18 Female Radiosurgery Radiopharmaceuticals Reproducibility of Results Radiotherapy Planning, Computer-Assisted Humans Tumor Burden Lung Neoplasms Lung Aged Neural Networks, Computer Time Factors Fuzzy Logic Aged, 80 and over Imaging, Three-Dimensional Positron Emission Tomography Computed Tomography Male
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Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network.

Scientific reports Sep 1, 2017
We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-solid and non-solid nodules in pulmonary computerized tomography images using a Convolutional Neural Network (CNN). Provided with only a two-dimension...
Diagnosis, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Databases, Factual Tomography, X-Ray Computed Lung Diagnosis, Differential Humans Neural Networks, Computer
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