AIMC Topic: Lung Neoplasms

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Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.

Computational intelligence and neuroscience Mar 30, 2020
The classification process of lung nodule detection in a traditional computer-aided detection (CAD) system is complex, and the classification result is heavily dependent on the performance of each step in lung nodule detection, causing low classifica...
Lung Neoplasms Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed
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Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data.

PloS one Mar 26, 2020
Precision medicine in oncology aims at obtaining data from heterogeneous sources to have a precise estimation of a given patient's state and prognosis. With the purpose of advancing to personalized medicine framework, accurate diagnoses allow prescri...
Machine Learning Algorithms Prognosis Transcriptome Lung Neoplasms Humans Genomics Neural Networks, Computer Gene Expression Regulation, Neoplastic Survival Analysis
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Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 20, 2020
PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell lung cancer (NSCLC), we defined radiomics signatures predicting the sensitivity of tumors to nivolumab, docetaxel, and gefitinib.
Humans Female Survival Rate Male Disease Progression Machine Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Gefitinib Lung Neoplasms Clinical Trials, Phase II as Topic Antineoplastic Combined Chemotherapy Protocols Nivolumab Carcinoma, Non-Small-Cell Lung Docetaxel Randomized Controlled Trials as Topic Clinical Trials, Phase III as Topic
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Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China.

Thoracic cancer Mar 19, 2020
BACKGROUND: IBM Watson for Oncology (WFO) provides physicians with evidence-based treatment options. This study was designed to explore the concordance of the suggested therapeutic regimen for advanced non-small cell lung (NSCLC) cancer patients betw...
Clinical Decision-Making Female Carcinoma, Squamous Cell Adenocarcinoma of Lung Survival Rate Lung Neoplasms Patient Selection Humans United States Practice Guidelines as Topic Artificial Intelligence Carcinoma, Non-Small-Cell Lung Evidence-Based Medicine Prognosis Follow-Up Studies Male Retrospective Studies Middle Aged China Decision Support Systems, Clinical
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Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.

Medical physics Mar 18, 2020
PURPOSE: Multiview two-dimensional (2D) convolutional neural networks (CNNs) and three-dimensional (3D) CNNs have been successfully used for analyzing volumetric data in many state-of-the-art medical imaging applications. We propose an alternative mo...
Lung Neoplasms False Positive Reactions Radiography, Thoracic Neural Networks, Computer Tomography, X-Ray Computed Sensitivity and Specificity Image Processing, Computer-Assisted Humans
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SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.

Scientific reports Mar 18, 2020
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods ...
Algorithms Databases, Factual Computer Simulation Stomach Neoplasms Antineoplastic Agents ROC Curve Lung Neoplasms Computational Biology Humans Neural Networks, Computer Machine Learning Support Vector Machine Obesity Anti-Obesity Agents Area Under Curve
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Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data.

Journal of medical Internet research Mar 17, 2020
BACKGROUND: Lung cancer is one of the most dangerous malignant tumors, with the fastest-growing morbidity and mortality, especially in the elderly. With a rapid growth of the elderly population in recent years, lung cancer prevention and control are ...
Risk Factors Aged Male Surveys and Questionnaires Incidence Lung Neoplasms Humans Internet Neural Networks, Computer Databases, Factual Female
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Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Scientific reports Mar 13, 2020
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical ...
Area Under Curve Neoplasm Staging Neoplasm Grading Workflow Neoplasm Metastasis Microarray Analysis Kaplan-Meier Estimate Lung Neoplasms Computational Biology Support Vector Machine Carcinoma, Non-Small-Cell Lung Reproducibility of Results Biomarkers, Tumor Deep Learning Humans
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Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial.

European radiology Mar 12, 2020
OBJECTIVE: To enhance the positive predictive value (PPV) of chest digital tomosynthesis (DTS) in the lung cancer detection with the analysis of radiomics features.
Logistic Models Humans Early Detection of Cancer Neural Networks, Computer Radiology Artificial Intelligence Semantics Machine Learning Aged Middle Aged Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Lung Neoplasms Reproducibility of Results
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Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer Mar 9, 2020
INTRODUCTION: Histologic subtypes of malignant pleural mesothelioma are a major prognostic indicator and decision denominator for all therapeutic strategies. In an ambiguous case, a rare transitional mesothelioma (TM) pattern may be diagnosed by path...
Tumor Suppressor Proteins Homozygote Humans Sequence Deletion Deep Learning Ubiquitin Thiolesterase Lung Neoplasms Mesothelioma
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