AIMC Topic: Lung Neoplasms

Clear Filters Showing 1571 to 1580 of 1660 articles

The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non-Small Cell Lung Cancer: A Variable Importance Approach.

Medical care May 1, 2020
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting ov...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Models, Statistical Middle Aged Comorbidity Tumor Burden Random Allocation Whole Body Imaging Positron Emission Tomography Computed Tomography Neoplasm Staging Radiopharmaceuticals Prognosis Retrospective Studies Female Aged Adult Male Humans Machine Learning
View on PubMed DOI

Deep learning takes on tumours.

Nature Apr 1, 2020
Neoplasms Deep Learning Lung Neoplasms Humans Software Breast Neoplasms Drug Evaluation, Preclinical Cell Nucleus Datasets as Topic
View on PubMed DOI

[Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2020
Lung cancer is a most common malignant tumor of the lung and is the cancer with the highest morbidity and mortality worldwide. For patients with advanced non-small cell lung cancer who have undergone epidermal growth factor receptor (EGFR) gene mutat...
Carcinoma, Non-Small-Cell Lung Mutation ErbB Receptors Deep Learning Lung Neoplasms Humans
View on PubMed DOI

Diagnostic value of artificial intelligence in early-stage lung cancer.

Chinese medical journal Feb 20, 2020
Humans Artificial Intelligence Survival Rate Lung Neoplasms
View on PubMed DOI

[Application of Radiomics in Classification and Prediction of Benign and Malignant Lung Tumors].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Feb 8, 2020
Aiming at the lack of quantitative evaluation methods in clinical diagnosis of lung cancer, a classification and prediction model of lung cancer based on Support Vector Machine (SVM) was constructed by using radiomics method. Firstly, the definition ...
Lung Neoplasms Support Vector Machine Radiometry Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer
View on PubMed DOI

Multi-level 3D Densenets for False-positive Reduction in Lung Nodule Detection Based on Chest Computed Tomography.

Current medical imaging Jan 1, 2020
OBJECTIVE: False-positive nodule reduction is a crucial part of a computer-aided detection (CADe) system, which assists radiologists in accurate lung nodule detection. In this research, a novel scheme using multi-level 3D DenseNet framework is propos...
Lung Neoplasms Tomography, X-Ray Computed Lung Humans Imaging, Three-Dimensional Neural Networks, Computer
View on PubMed DOI

Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: Lung cancer is the most common cancer in the world. Computed tomography (CT) is the standard medical imaging modality for early lung nodule detection and diagnosis that improves patient's survival rate. Recently, deep learning algorithms,...
Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Surveys and Questionnaires Sensitivity and Specificity Neural Networks, Computer Lung Neoplasms Lung Databases, Factual Tomography, X-Ray Computed
View on PubMed DOI

Automated sample preparation with SP3 for low-input clinical proteomics.

Molecular systems biology Jan 1, 2020
High-throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples from a variety of sources, including fresh-frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single-pot ...
Workflow HeLa Cells Specimen Handling Chromatography, Liquid Proteins Reproducibility of Results Robotics Adenocarcinoma Lung Neoplasms Mass Spectrometry Proteomics Humans Software
View on PubMed DOI

Overview of Computer Aided Detection and Computer Aided Diagnosis Systems for Lung Nodule Detection in Computed Tomography.

Current medical imaging reviews Jan 1, 2020
BACKGROUND: Lung cancer has become a major cause of cancer-related deaths. Detection of potentially malignant lung nodules is essential for the early diagnosis and clinical management of lung cancer. In clinical practice, the interpretation of Comput...
Humans Artificial Intelligence Tomography, X-Ray Computed Multiple Pulmonary Nodules Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms
View on PubMed DOI

[Artificial intelligence in lung imaging].

Der Radiologe Jan 1, 2020
CLINICAL/METHODICAL ISSUE: Artificial intelligence (AI) has the potential to improve diagnostic accuracy and management in patients with lung disease through automated detection, quantification, classification, and prediction of disease progression.
Artificial Intelligence Reproducibility of Results Lung Neoplasms Early Detection of Cancer Humans
View on PubMed DOI
Popular Topics
Recent Journals