AIMC Topic: Lung Neoplasms

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[An Overview of the Application of Artificial Neural Networks in Lung Cancer Research].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Apr 20, 2019
Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment methods. The development of precision medicine has brought new opportunities for the improvement of diagnosis and treatment of lung cancer. However, var...
Lung Neoplasms Humans Neural Networks, Computer Biomedical Research
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Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2019
Lung Mutation Biomarkers, Tumor Programmed Cell Death 1 Receptor Humans Models, Genetic Lung Neoplasms Male Aged Biopsy B7-H1 Antigen Middle Aged Drug Resistance, Neoplasm Aged, 80 and over Carcinoma, Non-Small-Cell Lung Adult Predictive Value of Tests Machine Learning
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[Application of Artificial Intelligence in Radiology].

Gan to kagaku ryoho. Cancer & chemotherapy Mar 1, 2019
Artificial intelligence has attracted attention in the various field as an advanced information technology. Regarding to the radiology, many artificial intelligence technologies have been introduced to the computer aided diagnosis technologies such a...
Humans Artificial Intelligence Lung Neoplasms Radiography Radiology
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Categorization & Recognition of Lung Tumor Using Machine Learning Representations.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Lung Cancer is the disease spreading around the world nowadays. Early recognition of lung disease is a difficult task as the cells which cause tumor will grow quickly and the majority of these cells are enclosed with each other. From the ...
Humans Machine Learning Image Interpretation, Computer-Assisted Algorithms Lung Neoplasms Early Detection of Cancer
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[The future of computer-aided diagnostics in chest computed tomography].

Khirurgiia Jan 1, 2019
Recently, more and more attention has been paid to the utility of artificial intelligence in medicine. Radiology differs from other medical specialties with its high digitalization, so most software developers operationalize this area of medicine. Th...
Thorax Diagnosis, Computer-Assisted Lung Neoplasms Early Detection of Cancer Forecasting Tomography, X-Ray Computed Reproducibility of Results Humans Machine Learning
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Humans Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Lung Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning ROC Curve Lung Neoplasms
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Recognition of Lung Adenocarcinoma-specific Gene Pairs Based on Genetic Algorithm and Establishment of a Deep Learning Prediction Model.

Combinatorial chemistry & high throughput screening Jan 1, 2019
AIM AND OBJECTIVE: Lung cancer is a disease with a dismal prognosis and is the major cause of cancer deaths in many countries. Nonetheless, rapid technological developments in genome science guarantees more effective prevention and treatment strategi...
Algorithms Gene Expression Profiling Deep Learning Models, Biological Adenocarcinoma of Lung Lung Neoplasms Humans Cluster Analysis
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Constructing a Risk Prediction Model for Lung Cancer Recurrence by Using Gene Function Clustering and Machine Learning.

Combinatorial chemistry & high throughput screening Jan 1, 2019
OBJECTIVE: A significant proportion of patients with early non-small cell lung cancer (NSCLC) can be cured by surgery. The distant metastasis of tumors is the most common cause of treatment failure. Precisely predicting the likelihood that a patient ...
Lung Neoplasms Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung Models, Biological Multigene Family Recurrence Risk Factors Male Middle Aged Humans Machine Learning Female
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Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...
Sensitivity and Specificity Deep Learning Lung Neoplasms Humans Neural Networks, Computer Tomography, X-Ray Computed Knowledge Bases Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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High serum YKL-40 level is associated with poor prognosis in patients with lung cancer.

Tuberkuloz ve toraks Dec 1, 2018
INTRODUCTION: YKL-40 is a glycoprotein that plays role in inflammation and malignant processes. High serum YKL-40 levels are associated with short survive in cancer and chronic obstructive pulmonary disease (COPD) is another reason to increase its' l...
Chitinase-3-Like Protein 1 Neoplasm Staging Biopsy, Fine-Needle Adipokines Humans Male Aged Carcinoma, Non-Small-Cell Lung Prognosis Middle Aged Adult Bronchoscopy Female Lung Neoplasms Biomarkers, Tumor Glycoproteins
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