AIMC Topic: Lung Neoplasms

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Multi-scale Convolutional Neural Networks for Lung Nodule Classification.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomography (CT) screening. Unlike traditional studies primarily relying on nodule segmentation for regional analysis, we tackle a more challenging problem on ...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement
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Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2015
BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model anal...
Humans Neural Networks, Computer Prognosis Retrospective Studies Female Carcinoma, Squamous Cell Risk Factors Aged Aged, 80 and over Adult Male Middle Aged Incidence ROC Curve Lung Neoplasms Logistic Models Adenocarcinoma Carcinoma, Non-Small-Cell Lung Follow-Up Studies Neoplasm Staging Mycoses Fungi Cross Infection Carcinoma, Large Cell Small Cell Lung Carcinoma
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