AIMC Topic: 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...
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 ...
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. ...
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...
Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer.
JCO clinical cancer informatics
Dec 1, 2018
PURPOSE: To compare the accuracy and reliability of a natural language processing (NLP) algorithm with manual coding by radiologists, and the combination of the two methods, for the identification of patients whose computed tomography (CT) reports ra...
[Astragalus polysaccharide combined with cisplatin inhibits growth of recurrent tumor and down-regulats the expression of CD44, CD62P and osteopontin in tumor tissues in mice bearing Lewis lung cancer].
Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology
Dec 1, 2018
Objective To investigate the effects of Astragalus polysaccharide (APS) combined with cisplatin (DDP) on the pathological morphology of recurrent tumor and the expression of metastasis-related proteins CD44, CD62P and osteopontin (OPN) following Lewi...
[Effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells and the underlying mechanisms].
Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
Nov 28, 2018
To investigate the effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells.
Methods: First, A549 cells were divided into a control group and a low, medium or high dose of Brucea javan...
[Survival Analysis of Stage I Non-small Cell Lung Cancer Patients Treated with Da Vinci Robot-assisted Thoracic Surgery].
Zhongguo fei ai za zhi = Chinese journal of lung cancer
Nov 20, 2018
BACKGROUND: Da Vinci robotic surgery system is widely used in department of thoracic surgery. The aim of this study is to investigate the treatment outcome of stage I non-small cell lung cancer (NSCLC) via da Vinci Surgical System.
Value of Free-text Comments for Validating Cancer Cases Using Primary-care Data in the United Kingdom.
Epidemiology (Cambridge, Mass.)
Sep 1, 2018
Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT.
Journal of digital imaging
Aug 1, 2018
In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for enhancing image resolution in chest CT images, was applied and evaluated using the post-processing ...
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